Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
Hostname: page-component-cd9895bd7-jkksz Total loading time: 0 Render date: 2024-12-23T08:02:44.788Z Has data issue: false hasContentIssue false

References

Published online by Cambridge University Press:  04 May 2017

Sarah M. Hamylton
Sarah M. Hamylton
Affiliation:
University of Wollongong, New South Wales
Get access
Type
Chapter
Information
Spatial Analysis of Coastal Environments , pp. 262 - 284
Publisher: Cambridge University Press
Print publication year: 2017

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

ABUODHA, P. A. & WOODROFFE, C. D. 2010. Assessing vulnerability to sea-level rise using a coastal sensitivity index: a case study from southeast Australia. Journal of Coastal Conservation, 14, 189–205.CrossRefGoogle Scholar
ADLER-GOLDEN, S. M., ACHARYA, P. K., BERK, A., MATTHEW, M. W. & GORODETZKY, D. 2005. Remote bathymetry of the littoral zone from AVIRIS, LASH, and QuickBird imagery. IEEE Transactions on Geoscience and Remote Sensing, 43, 337–347.Google Scholar
AGISOFT. 2012. Agisoft PhotoScan user manual. Professional edition, version 0.9.0. AgiSoft LLC.Google Scholar
ALESHEIKH, A. A., GHORBANALI, A. & NOURI, N. 2007. Coastline change detection using remote sensing. International Journal of Environmental Science and Technology, 4, 61–66.Google Scholar
ALLEN, Y. C., WILSON, C. A., ROBERTS, H. H. & SUPAN, J. 2005. High resolution mapping and classification of oyster habitats in nearshore Louisiana using sidescan sonar. Estuaries, 28, 435–446.Google Scholar
ALMUNIA, J., BASTERRETXEA, G., ARĺ, J. & ULANOWICZ, R. 1999. Benthic–pelagic switching in a coastal subtropical lagoon. Estuarine, Coastal and Shelf Science, 49, 363–384.Google Scholar
ANDERS, F. J. & BYRNES, M. R. 1991. Accuracy of shoreline change rates as determined from maps and aerial photographs. Shore and Beach, 59, 17–26.Google Scholar
ANDRÉFOUËT, S., CLAEREBOUDT, M., MATSAKIS, P., PAGES, J. & DUFOUR, P. 2001. Typology of atoll rims in Tuamotu Archipelago (French Polynesia) at landscape scale using SPOT HRV images. International Journal of Remote Sensing, 22, 987–1004.Google Scholar
ANGELOUDIS, A., AHMADIAN, R., FALCONER, R. A. & BOCKELMANN-EVANS, B. 2016. Numerical model simulations for optimisation of tidal lagoon schemes. Applied Energy, 165, 522–536.CrossRefGoogle Scholar
ANSELIN, L. 1995. Local indicators of spatial association – LISA. Geographical Analysis, 27, 93–115.CrossRefGoogle Scholar
ANSELIN, L. & BERA, A. K. 1998. Spatial dependence in linear regression models with an introduction to spatial econometrics. In Handbook of applied economic statistics, Eds Ullah, A. & Giles, D. E. A., Statistics: Textbooks and Monographs, vol. 155, pp. 237–290. Marcel Dekker.Google Scholar
ANSELIN, L., SYABRI, I. & KHO, Y. 2006. GeoDa: an introduction to spatial data analysis. Geographical Analysis, 38, 5–22.Google Scholar
ARBIA, G., GRIFFITH, D. & HAINING, R. 1998. Error propagation modelling in raster GIS: overlay operations. International Journal of Geographical Information Science, 12, 145–167.Google Scholar
ARIAS-GONZÁLEZ, J. E., ACOSTA-GONZÁLEZ, G., MEMBRILLO, N., GARZA-PÉREZ, J. R. & CASTRO-PÉREZ, J. M. 2012. Predicting spatially explicit coral reef fish abundance, richness and Shannon–Weaver index from habitat characteristics. Biodiversity and Conservation, 21, 115–130.Google Scholar
ATKINSON, P. M. & FOODY, G. M. 2002. Uncertainty in remote sensing and GIS: fundamentals. In Uncertainty in remote sensing and GIS, Eds Foody, G. M. & Atkinson, P. M., pp. 1–18. John Wiley.Google Scholar
BAAS, A. C. 2002. Chaos, fractals and self-organization in coastal geomorphology: simulating dune landscapes in vegetated environments. Geomorphology, 48, 309–328.Google Scholar
BAILEY, H. & THOMPSON, P. M. 2009. Using marine mammal habitat modelling to identify priority conservation zones within a marine protected area. Marine Ecology Progress Series, 378, 279–287.Google Scholar
BAILEY, T. C. & GATRELL, A. C. 1995. Interactive spatial data analysis. Longman Scientific & Technical.Google Scholar
BARNARD, P. L., RUBIN, D. M., HARNEY, J. & MUSTAIN, N. 2007. Field test comparison of an autocorrelation technique for determining grain size using a digital ‘beachball’ camera versus traditional methods. Sedimentary Geology, 201, 180–195.Google Scholar
BARNES, R. 2010. Regional and latitudinal variation in the diversity, dominance and abundance of microphagous microgastropods and other benthos in intertidal beds of dwarf eelgrass, Nanozostera spp. Marine Biodiversity, 40, 95–106.Google Scholar
BARNES, R. & HAMYLTON, S. 2013. Abrupt transitions between macrobenthic faunal assemblages across seagrass bed margins. Estuarine, Coastal and Shelf Science, 131, 213–223.Google Scholar
BARNES, R. & HAMYLTON, S. 2016. On the very edge: faunal and functional responses to the interface between benthic seagrass and unvegetated sand assemblages. Marine Ecology Progress Series, 553, 33–48.CrossRefGoogle Scholar
BARNES, R. S. K. & HUGHES, R. N. 2009. An introduction to marine ecology. John Wiley.Google Scholar
BARTHOLOMEW, A., BOHNSACK, J. A., SMITH, S. G., AULT, J. S., HARPER, D. E. & MCCLELLAN, D. B. 2008. Influence of marine reserve size and boundary length on the initial response of exploited reef fishes in the Florida Keys National Marine Sanctuary, USA. Landscape Ecology, 23, 55–65.Google Scholar
BARTLETT, D. J. 2000. Working on the frontiers of science: applying GIS to the coastal zone. In Marine and coastal geographical information systems, Eds Wright, D. J. & Bartlett, D. J., pp. 11–24. Taylor & Francis.Google Scholar
BAVAUD, F. 1998. Models for spatial weights: a systematic look. Geographical Analysis, 30, 153–171.Google Scholar
BEACH PROTECTION AUTHORITY, QUEENSLAND. 1989. Green Island data report. Government Printer, Queensland.Google Scholar
BEGON, M., TOWNSEND, C. & HARPER, J. 2006. Ecology: from individuals to ecosystems. Blackwell Publishing.Google Scholar
BELL, S. S., FONSECA, M. S. & KENWORTHY, W. J. 2008. Dynamics of a subtropical seagrass landscape: links between disturbance and mobile seed banks. Landscape Ecology, 23, 67–74.CrossRefGoogle Scholar
BELLUCO, E., CAMUFFO, M., FERRARI, S., MODENESE, L., SILVESTRI, S., MARANI, A. & MARANI, M. 2006. Mapping salt-marsh vegetation by multispectral and hyperspectral remote sensing. Remote Sensing of Environment, 105, 54–67.Google Scholar
BENENSON, W. & STÖCKER, H. 2002. Handbook of physics. Springer.Google Scholar
BENFIELD, S., GUZMAN, H., MAIR, J. & YOUNG, J. 2007. Mapping the distribution of coral reefs and associated sublittoral habitats in Pacific Panama: a comparison of optical satellite sensors and classification methodologies. International Journal of Remote Sensing, 28, 5047–5070.Google Scholar
BERBEROGLU, S. & AKIN, A. 2009. Assessing different remote sensing techniques to detect land use/cover changes in the eastern Mediterranean. International Journal of Applied Earth Observation and Geoinformation, 11, 46–53.Google Scholar
BERRY, B. J. 1964. Approaches to regional analysis: a synthesis. Annals of the Association of American Geographers, 54, 2–11.Google Scholar
BIE, S. & BECKETT, P. 1973. Comparison of four independent soil surveys by air-photo interpretation, Paphos area (Cyprus). Photogrammetria, 29, 189–202.Google Scholar
BILIO, M. & NIERMANN, U. 2004. Is the comb jelly really to blame for it all? Mnemiopsis leidyi and the ecological concerns about the Caspian Sea. Marine Ecology Progress Series, 269, 173–183.CrossRefGoogle Scholar
BINDING, C., BOWERS, D. & MITCHELSON-JACOB, E. 2005. Estimating suspended sediment concentrations from ocean colour measurements in moderately turbid waters; the impact of variable particle scattering properties. Remote Sensing of Environment, 94, 373–383.Google Scholar
BIRIBO, N. 2012. Morphological development of reef islands on Tarawa Atoll, Kiribati. Thesis, University of Wollongong, Australia.Google Scholar
BISHOP, C. T., DONELAN, M. A. & KAHMA, K. K. 1992. Shore Protection Manual’s wave prediction reviewed. Coastal Engineering, 17, 25–48.Google Scholar
BIVAND, R. S., PEBESMA, E. & GÓMEZ-RUBIO, V. 2013. Applied spatial data analysis with R. Springer.Google Scholar
BOAK, E. H. & TURNER, I. L. 2005. Shoreline definition and detection: a review. Journal of Coastal Research, 21, 688–703.Google Scholar
BOARD, C. 1967. Maps as models. Methuen.Google Scholar
BOLSTAD, P. V., GESSLER, P. & LILLESAND, T. M. 1990. Positional uncertainty in manually digitized map data. International Journal of Geographical Information Systems, 4, 399–412.Google Scholar
BOLSTAD, W. M. 2013. Introduction to Bayesian statistics. John Wiley.Google Scholar
BOOLE, G. 1854. The laws of thought. Walton and Maberly, London.Google Scholar
BRANCH, G. & PRINGLE, A. 1987. The impact of the sand prawn Callianassa kraussi Stebbing on sediment turnover and on bacteria, meiofauna, and benthic microflora. Journal of Experimental Marine Biology and Ecology, 107, 219–235.Google Scholar
BREY, L. 2009. Acclimation of kelp photosynthesis to seasonal changes in the underwater radiation regime of an Arctic fjord system. Dissertation, University of Bremen.Google Scholar
BROTTON, J. 2013. A history of the world in 12 Maps. Penguin.Google Scholar
BROWN, C. J., SMITH, S. J., LAWTON, P. & ANDERSON, J. T. 2011. Benthic habitat mapping: a review of progress towards improved understanding of the spatial ecology of the seafloor using acoustic techniques. Estuarine, Coastal and Shelf Science, 92, 502–520.CrossRefGoogle Scholar
BRUNETTE, W., SODT, R., CHAUDHRI, R., GOEL, M., FALCONE, M., VAN ORDEN, J. & BORRIELLO, G. 2012. Open data kit sensors: a sensor integration framework for android at the application level. In MobiSys’12: Proc. 10th Int. Conf. on Mobile Systems, Applications, and Services, pp. 351–364. ACM.Google Scholar
BRUUN, P. 1983. Review of conditions for uses of the Bruun rule of erosion. Coastal Engineering, 7, 77–89.Google Scholar
BRUUN, P. 1988. The Bruun rule of erosion by sea-level rise: a discussion on large-scale two- and three-dimensional usages. Journal of Coastal Research, 4, 627–648.Google Scholar
BRYSON, M., JOHNSON-ROBERSON, M., MURPHY, R. J. & BONGIORNO, D. 2013. Kite aerial photography for low-cost, ultra-high spatial resolution multi-spectral mapping of intertidal landscapes. PloS one, 8, e73550.Google Scholar
BUJA, A., COOK, D. & SWAYNE, D. F. 1996. Interactive high-dimensional data visualization. Journal of Computational and Graphical Statistics, 5, 78–99.Google Scholar
BURROUGH, P. A. & McDONNELL, R. A. 2011. Principles of geographical information systems. Oxford University Press.Google Scholar
CALMANT, S. & BAUDRY, N. 1996. Modelling bathymetry by inverting satellite altimetry data: a review. Marine Geophysical Research, 18, 123–134.Google Scholar
CAMPBELL, J. B. 1996. Introduction to remote sensing. Taylor & Francis.Google Scholar
CAMPBELL, J. B. 2002. Introduction to remote sensing. CRC Press.Google Scholar
CARR, M. H., NEIGEL, J. E., ESTES, J. A., ANDELMAN, S., WARNER, R. R. & LARGIER, J. L. 2003. Comparing marine and terrestrial ecosystems: implications for the design of coastal marine reserves. Ecological Applications, 13, 90–107.Google Scholar
CARVER, S. J., CORNELIUS, S. C. & HEYWOOD, D. I. 2006. An introduction to geographical information systems. Pearson Education.Google Scholar
CASAGRANDE, C., FABRE, P., RAPHAEL, E. & VEYSSIE, M. 1989. Water/oil interfaces. Europhysics Letters, 9, 251–255.Google Scholar
CASELLA, E., ROVERE, A., PEDRONCINI, A., MUCERINO, L., CASELLA, M., CUSATI, L. A., VACCHI, M., FERRARI, M. & FIRPO, M. 2014. Study of wave runup using numerical models and low-altitude aerial photogrammetry: a tool for coastal management. Estuarine, Coastal and Shelf Science, 149, 160–167.Google Scholar
CECCHERELLI, G., PIAZZI, L. & CINELLI, F. 2000. Response of the non-indigenous Caulerpa racemosa (Forsskål) J. Agardh to the native seagrass Posidonia oceanica (L.) Delile: effect of density of shoots and orientation of edges of meadows. Journal of Experimental Marine Biology and Ecology, 243, 227–240.Google Scholar
CHAPMAN, V. & TREVARTHEN, C. 1953. General schemes of classification in relation to marine coastal zonation. Journal of Ecology, 41, 198–204.Google Scholar
CHAPPUIS, E., TERRADAS, M., CEFALÌ, M. E., MARIANI, S. & BALLESTEROS, E. 2014. Vertical zonation is the main distribution pattern of littoral assemblages on rocky shores at a regional scale. Estuarine, Coastal and Shelf Science, 147, 113–122.Google Scholar
CHOLLETT, I. & MUMBY, P. 2012. Predicting the distribution of Montastraea reefs using wave exposure. Coral Reefs, 31, 493–503.Google Scholar
CHORLEY, R. J. 1964. Geography and analogue theory. Annals of the Association of American Geographers, 54, 127–137.Google Scholar
CHORLEY, R. J. 1967. Models in geomorphology. In Models in geography, Eds R. J. Chorley & P. Haggett, pp. 59–96. Methuen.Google Scholar
CHORLEY, R. J. & KENNEDY, B. A. 1971. Physical geography: a systems approach. Prentice-Hall.Google Scholar
CHOU, Y.-H. 1997. Exploring spatial analysis in geographic information systems. OnWord Press.Google Scholar
CHRISMAN, N. 1982. A theory of cartographic error and its measurement in digital data bases. In Proc. Fifth Int. Symp. on Computer-Assisted Cartography and Int. Soc. for Photogrammetry and Remote Sensing. Commission IV, pp. 159–168. Crystal City.Google Scholar
CHRISTIAN, R. R., FORÉS, E., COMIN, F., VIAROLI, P., NALDI, M. & FERRARI, I. 1996. Nitrogen cycling networks of coastal ecosystems: influence of trophic status and primary producer form. Ecological Modelling, 87, 111–129.Google Scholar
CHURCH, J. A., WHITE, N. J., COLEMAN, R., LAMBECK, K. & MITROVICA, J. X. 2004. Estimates of the regional distribution of sea level rise over the 1950–2000 period. Journal of Climate, 17, 2609–2625.Google Scholar
CLARK, C. 1993. Satellite remote sensing of marine pollution. International Journal of Remote Sensing, 14, 2985–3004.Google Scholar
CLARKE, J. I. 1966. Morphometry from maps. Essays in Geomorphology, 252, 235–274.Google Scholar
CLIFF, A. D. & ORD, J. K. 1981. Spatial processes: models and applications. Pion.Google Scholar
COHEN, K. M. 2005. 3D geostatistical interpolation and geological interpretation of paleo-groundwater rise in the Holocene coastal prism in the Netherlands. In River deltas – concepts, models, and examples, Eds Giosan, L. & Bhattacharya, J. P., SEPM Publ. No. 83, pp. 341–364. Society for Sedimentary Geology.Google Scholar
COLLEN, J., GARTON, D. & GARDNER, J. 2009. Shoreline changes and sediment redistribution at Palmyra Atoll (equatorial Pacific Ocean): 1874–present. Journal of Coastal Research, 25, 711–722.Google Scholar
CONGALTON, R. G. 1991. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment, 37, 35–46.Google Scholar
CONGALTON, R. G. & GREEN, K. 2008. Assessing the accuracy of remotely sensed data: principles and practices. CRC Press.Google Scholar
COOK, D., MAJURE, J. J., SYMANZIK, J. & CRESSIE, N. 1996. Dynamic graphics in a GIS: exploring and analyzing multivariate spatial data using linked software. Computational Statistics, 11, 467–480.Google Scholar
COOK, D., SYMANZIK, J., MAJURE, J. J. & CRESSIE, N. 1997. Dynamic graphics in a GIS: more examples using linked software. Computers & Geosciences, 23, 371–385.Google Scholar
COOLEY, T., ANDERSON, G., FELDE, G., HOKE, M., RATKOWSKI, A., CHETWYND, J., GARDNER, J., ADLER-GOLDEN, S., MATTHEW, M. & BERK, A. 2002. FLAASH, a MODTRAN4-based atmospheric correction algorithm, its application and validation. In 2002 IEEE Int. Geoscience and Remote Sensing Symp., IGARSS’02, pp. 1414–1418. IEEE.Google Scholar
COOPER, J. & PILKEY, O. 2004. Longshore drift: trapped in an expected universe. Journal of Sedimentary Research, 74, 599–606.Google Scholar
COWELL, P. & THOM, B. 1994. Morphodynamics of coastal evolution, pp. 33–86. Cambridge University Press.Google Scholar
COWEN, R. K. & SPONAUGLE, S. 2009. Larval dispersal and marine population connectivity. Annual Review of Marine Science, 1, 443–466.Google Scholar
CRAIG, R. G. & LABOVITZ, M. L. 1980. Sources of variation in Landsat autocorrelation. In Proc. 14th Int. Symp. on Remote Sensing of Environment, San José, Costa Rica, pp. 1755–1767.Google Scholar
CRAMPTON, J. W. 2001. Maps as social constructions: power, communication and visualization. Progress in Human Geography, 25, 235–252.Google Scholar
CRAMPTON, J. W. 2011. Mapping: a critical introduction to cartography and GIS. John Wiley.Google Scholar
CRESSIE, N. A. 1993. Statistics for spatial data. John Wiley.Google Scholar
CRESSIE, N. A. & LIU, D. 2012. Spatial statistics in geographic information systems (GISs). In Encyclopedia of environmetrics, 2nd edn, Eds. El-Shaarawi, A. H. & Piegorsch, W. W., pp. 1–5. John Wiley.Google Scholar
CRONE, G. R. 1966. Maps and their makers: an introduction to the history of cartography. Hutchinson.Google Scholar
CROWELL, M., LEATHERMAN, S. P. & BUCKLEY, M. K. 1991. Historical shoreline change: error analysis and mapping accuracy. Journal of Coastal Research, 7, 839–852.Google Scholar
CRUZ, J. 2007. Ocean wave energy: current status and future perspectives. Springer.Google Scholar
CURRAN, P. & NOVO, E. 1988. The relationship between suspended sediment concentration and remotely sensed spectral radiance: a review. Journal of Coastal Research, 4, 351–368.Google Scholar
CURRIER, K. 2015. Mapping with strings attached: kite aerial photography of Durai Island, Anambas Islands, Indonesia. Journal of Maps, 11, 589–597.CrossRefGoogle Scholar
DALE, M. R. & FORTIN, M.-J. 2014. Spatial analysis: a guide for ecologists. Cambridge University Press.Google Scholar
DARWISH, A., LEUKERT, K. & REINHARDT, W. 2003. Image segmentation for the purpose of object-based classification. In Int. Geoscience and Remote Sensing Symp., III, pp. 2039–2041.Google Scholar
DAUBER, J., HIRSCH, M., SIMMERING, D., WALDHARDT, R., OTTE, A. & WOLTERS, V. 2003. Landscape structure as an indicator of biodiversity: matrix effects on species richness. Agriculture, Ecosystems & Environment, 98, 321–329.Google Scholar
DAVIES, A. J. & GUINOTTE, J. M. 2011. Global habitat suitability for framework-forming cold-water corals. PloS one, 6, e18483.Google Scholar
DAVIES, J. 1972. Geographical variation in coastline development, p. 204. Oliver and Boyd.Google Scholar
DAWSON, J. L. & SMITHERS, S. G. 2010. Shoreline and beach volume change between 1967 and 2007 at Raine Island, Great Barrier Reef, Australia. Global and Planetary Change, 72, 141–154.CrossRefGoogle Scholar
DAY, J. C. 2002. Zoning – lessons from the Great Barrier Reef Marine Park. Ocean & Coastal Management, 45, 139–156.Google Scholar
DEBENHAM, F. 1936. Cheaper plane tables. Geography, 21, 222–224.Google Scholar
DEBENHAM, F. 1937. Exercises in cartography. Blackie.Google Scholar
DEBENHAM, F. 1956. Map making. Blackie.Google Scholar
DECKER, D. 2001. GIS data sources. John Wiley.Google Scholar
DEKKER, A. G., PHINN, S. R., ANSTEE, J., BISSETT, P., BRANDO, V. E., CASEY, B., FEARNS, P., HEDLEY, J., KLONOWSKI, W. & LEE, Z. P. 2011. Intercomparison of shallow water bathymetry, hydro-optics, and benthos mapping techniques in Australian and Caribbean coastal environments. Limnology and Oceanography: Methods, 9, 396–425.Google Scholar
DESA. 2013. World population prospects: the 2012 revision. Population Division, Department of Economic and Social Affairs, United Nations Secretariat.Google Scholar
DETHIER, M. N. & SCHOCH, G. C. 2005. The consequences of scale: assessing the distribution of benthic populations in a complex estuarine fjord. Estuarine, Coastal and Shelf Science, 62, 253–270.Google Scholar
DIGGLE, P. J. 2013. Statistical analysis of spatial and spatio-temporal point patterns. CRC Press.Google Scholar
DODGE, M., KITCHIN, R. & PERKINS, C. 2011. The map reader: theories of mapping practice and cartographic representation. John Wiley.CrossRefGoogle Scholar
DOO, S. S., HAMYLTON, S. & BYRNE, M. 2012. Reef-scale assessment of intertidal large benthic foraminifera populations on One Tree Island, Great Barrier Reef and their future carbonate production potential in a warming ocean. Zoological Studies, 51, 1298–1307.Google Scholar
DOWD, M., GRANT, J. & LU, L. 2014. Predictive modeling of marine benthic macrofauna and its use to inform spatial monitoring design. Ecological Applications, 24, 862–876.CrossRefGoogle ScholarPubMed
DUARTE, C. M. 1991. Seagrass depth limits. Aquatic Botany, 40, 363–377.Google Scholar
DUCE, S., VILA-CONCEJO, A., HAMYLTON, S., WEBSTER, J., BRUCE, E. & BEAMAN, R. 2016. A morphometric assessment and classification of coral reef spur and groove morphology. Geomorphology, 265, 68–83.Google Scholar
DUNN, R. & HARRISON, A. 1993. Two-dimensional systematic sampling of land use. Journal of the Royal Statistical Society, Series C, Applied Statistics, 42, 585–601.Google Scholar
EASTMAN, J. R. 2003. IDRISI Kilimanjaro: guide to GIS and image processing. Clark Labs, Clark University, Worcester, MA.Google Scholar
EKEBOM, J., LAIHONEN, P. & SUOMINEN, T. 2003. A GIS-based step-wise procedure for assessing physical exposure in fragmented archipelagos. Estuarine, Coastal and Shelf Science, 57, 887–898.Google Scholar
EL-ASHRY, M. & WANLESS, H. R. 1967. Shoreline features and their changes. Photogrammetric Engineering, 33, 184–189.Google Scholar
ELITH, J. & LEATHWICK, J. R. 2009. Species distribution models: ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution, and Systematics, 40, 677.Google Scholar
ELLIS, M. Y. 1978. Coastal mapping handbook. US Government Printing Office.Google Scholar
ELVIDGE, C. D., DIETZ, J. B., BERKELMANS, R., ANDREFOUET, S., SKIRVING, W., STRONG, A. E. & TUTTLE, B. T. 2004. Satellite observation of Keppel Islands (Great Barrier Reef) 2002 coral bleaching using IKONOS data. Coral Reefs, 23, 123–132.CrossRefGoogle Scholar
EVANS, R. D., MURRAY, K. L., FIELD, S. N., MOORE, J. A., SHEDRAWI, G., HUNTLEY, B. G., FEARNS, P., BROOMHALL, M., McKINNA, L. I. & MARRABLE, D. 2012. Digitise this! A quick and easy remote sensing method to monitor the daily extent of dredge plumes. PloS one, 7, e51668.Google Scholar
FABBRI, K. P. 1998. A methodology for supporting decision making in integrated coastal zone management. Ocean & Coastal Management, 39, 51–62.Google Scholar
FAIRBRIDGE, R. W. & TEICHERT, C. 1948. The Low Isles of the Great Barrier Reef: a new analysis. Geographical Journal, 111, 67–88.Google Scholar
FARINA, A. 2008. Principles and methods in landscape ecology: towards a science of the landscape. Springer.Google Scholar
FEAGIN, R. A., SHERMAN, D. J. & GRANT, W. E. 2005. Coastal erosion, global sea-level rise, and the loss of sand dune plant habitats. Frontiers in Ecology and the Environment, 3, 359–364.Google Scholar
FIGUEIREDO JR, A., SWIFT, D. & CLARKE, T. 1981. Sand ridges on the inner Atlantic shelf of North America: morphometric comparisons with Huthnance stability model. Geo-Marine Letters, 1, 187–191.Google Scholar
FIORENTINO, D., CARUSO, T. & TERLIZZI, A. 2012. Spatial autocorrelation in the response of soft-bottom marine benthos to gas extraction activities: the case of amphipods in the Ionian Sea. Marine Environmental Research, 79, 79–85.Google Scholar
FISCHER, M. & GETIS, A. 1997. Recent developments in spatial analysis. Springer.Google Scholar
FLEECER, J., PALMER, M. & MOSER, E. 1990. On the scale of aggregation of meio-benthic copepods on a tidal mudflat. Marine Ecology, 11, 227–237.Google Scholar
FLETCHER, C., ROONEY, J., BARBEE, M., LIM, S.-C. & RICHMOND, B. 2003. Mapping shoreline change using digital orthophotogrammetry on Maui, Hawaii. Journal of Coastal Research, 19, Special Issue 38, 106–124.Google Scholar
FLOOD, P. G. 1974. Sand movements on Heron Island – a vegetated sand cay Great Barrier Reef Province, Australia. In Proc. Second Int. Symp. on Coral Reefs, pp. 387–394.Google Scholar
FLOOD, P. G. 1979. Heron Island erosion problems. Reeflections. Great Barrier Reef Marine Park Authority.Google Scholar
FLOOD, P. G. & HEATWOLE, H. 1986. Coral cay instability and species-turnover of plants at Swain Reefs, Southern Great Barrier Reef, Australia. Journal of Coastal Research, 2, 479–496.Google Scholar
FONSECA, M. S. & BELL, S. S. 1998. Influence of physical setting on seagrass landscapes near Beaufort, North Carolina, USA. Marine Ecology Progress Series, 171, 109.Google Scholar
FORD, F. A. 1999. Modeling the environment: an introduction to system dynamics models of environmental systems. Island Press.Google Scholar
FORD, M. 2011. Shoreline changes on an urban atoll in the central Pacific Ocean: Majuro Atoll, Marshall Islands. Journal of Coastal Research, 28, 11–22.Google Scholar
FORMAN, R. T. T. 1995. Land mosaics: the ecology of landscapes and regions. Cambridge University Press.Google Scholar
FORMAN, R. T. T. & GODRON, M. 1981. Patches and structural components for a landscape ecology. BioScience, 31, 733–740.Google Scholar
FORMAN, R. T. T. & GODRON, M. 1986. Landscape ecology. John Wiley.Google Scholar
FOTHERINGHAM, A. S. & ROGERSON, P. 2013. Spatial analysis and GIS. CRC Press.Google Scholar
FOTHERINGHAM, A. S., BRUNSDON, C. & CHARLTON, M. 2000. Quantitative geography: perspectives on spatial data analysis. Sage.Google Scholar
FOUCAULT, M. 2000. So is it important to think? In Power: the essential works of Michel Foucault 1954–1984, Ed. Faubion, J. B., vol. 3, pp. 454–458. The New Press, New York.Google Scholar
FOWLER, S. & OREGIONI, B. 1976. Trace metals in mussels from the NW Mediterranean. Marine Pollution Bulletin, 7, 26–29.Google Scholar
FRANK, T. D. & JELL, J. S. 2006. Recent developments on a nearshore, terrigenous-influenced reef: Low Isles Reef, Australia. Journal of Coastal Research, 22, 474–486.Google Scholar
FRANKLIN, J. 2010. Mapping species distributions: spatial inference and prediction. Cambridge University Press.Google Scholar
FROHN, R. C. 1997. Remote sensing for landscape ecology: new metric indicators for monitoring, modeling, and assessment of ecosystems. CRC Press.Google Scholar
GAINES, S., GAYLORD, B., GERBER, L., HASTINGS, A. & KINLAN, B. 2007. Connecting places. The ecological consequences of dispersal in the sea. Oceanography, 20, 90–99.Google Scholar
GANCI, G. & SHORTIS, M. R. 1996. A comparison of the utility and efficiency of digital photogrammetry and industrial theodolite systems. International Archives of Photogrammetry and Remote Sensing, 31, 182–187.Google Scholar
GELMAN, A. 2004. Exploratory data analysis for complex models. Journal of Computational and Graphical Statistics, 13, 755–779.Google Scholar
GEOSCIENCE AUSTRALIA. 2008. OzCoasts: Australian online coastal information. Marine & Coastal Environment Group, Geoscience Australia.Google Scholar
GIARDINO, C., CANDIANI, G., BRESCIANI, M., LEE, Z., GAGLIANO, S. & PEPE, M. 2012. BOMBER: a tool for estimating water quality and bottom properties from remote sensing images. Computers & Geosciences, 45, 313–318.Google Scholar
GIBSON, C. & PHILLIPSON, J. 1983. The vegetation of Aldabra Atoll: preliminary analysis and explanation of the vegetation map. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 302, 201–235.Google Scholar
GILBERT, C. L. 1986. Practitioner’s corner: Professor Hendry’s econometric methodology. Oxford Bulletin of Economics and Statistics, 48, 283–307.Google Scholar
GILHOUSEN, D. B. 1987. A field evaluation of NDBC moored buoy winds. Journal of Atmospheric and Oceanic Technology, 4, 94–104.Google Scholar
GLASGOW, H. B., BURKHOLDER, J. M., REED, R. E., LEWITUS, A. J. & KLEINMAN, J. E. 2004. Real-time remote monitoring of water quality: a review of current applications, and advancements in sensor, telemetry, and computing technologies. Journal of Experimental Marine Biology and Ecology, 300, 409–448.Google Scholar
GOODCHILD, M. F., LONGLEY, P., MAGUIRE, D. J. & RHIND, D. W. 2005. Geographic information systems and science. John Wiley.Google Scholar
GOODMAN, J. & USTIN, S. L. 2007. Classification of benthic composition in a coral reef environment using spectral unmixing. Journal of Applied Remote Sensing, 1, 011501.Google Scholar
GOODMAN, J. A., PURKIS, S. J. & PHINN, S. R. 2013. Coral reef remote sensing: a guide for mapping, monitoring and management. Springer.Google Scholar
GORNITZ, V. 1991. Global coastal hazards from future sea level rise. Palaeogeography, Palaeoclimatology, Palaeoecology, 89, 379–398.Google Scholar
GORNITZ, V. M., DANIELS, R. C., WHITE, T. W. & BIRDWELL, K. R. 1994. The development of a coastal risk assessment database: vulnerability to sea-level rise in the US Southeast. Journal of Coastal Research, 10, Special Issue 12, 327–338.Google Scholar
GOURLAY, M. 1988. Coral cays: products of wave action and geological processes in a biogenic environment. In Proc. 6th Int. Coral Reef Symp., Townsville, Australia, pp. 491–496.Google Scholar
GRAF, W. L. 2006. Downstream hydrologic and geomorphic effects of large dams on American rivers. Geomorphology, 79, 336–360.Google Scholar
GREEN, D. & HARTLEY, S. 2000. Integrating photointerpretation and GIS for vegetation mapping: some issues of error. In Vegetation mapping: from patch to planet, In R. Alexander & A. C. Millington, pp. 103–134. John Wiley.Google Scholar
GREEN, E., MUMBY, P., EDWARDS, A. & CLARK, C. 1996. A review of remote sensing for the assessment and management of tropical coastal resources. Coastal Management, 24, 1–40.Google Scholar
GREEN, E. P., MUMBY, P. J., EDWARDS, A. J. & CLARK, C. D. 2005. Remote sensing handbook for tropical coastal management. Unesco.Google Scholar
GREIG-SMITH, P. 1961. Data on pattern within plant communities: I. The analysis of pattern. Journal of Ecology, 49, 695–702.Google Scholar
GRIFFITH, D. A. & LAYNE, L. J. 1999. A casebook for spatial statistical data analysis: a compilation of analyses of different thematic data sets. Oxford University Press.Google Scholar
GROBER-DUNSMORE, R., FRAZER, T. K., BEETS, J. P., LINDBERG, W. J., ZWICK, P. & FUNICELLI, N. A. 2008. Influence of landscape structure on reef fish assemblages. Landscape Ecology, 23, 37–53.Google Scholar
GUILLOT, B. & POUGET, F. 2015. UAV application in coastal environment, example of the Oleron Island for dunes and dikes survey. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 40, 321.Google Scholar
GUINAN, J., GREHAN, A. J., DOLAN, M. F. & BROWN, C. 2009. Quantifying relationships between video observations of cold-water coral cover and seafloor features in Rockall Trough, west of Ireland. Marine Ecology Progress Series, 375, 125–138.Google Scholar
GUISAN, A. & ZIMMERMANN, N. E. 2000. Predictive habitat distribution models in ecology. Ecological Modelling, 135, 147–186.Google Scholar
HAGGETT, P. & CHORLEY, R. J. 1967. Models, paradigms and the new geography. Models in Geography, 19, 41.Google Scholar
HAINING, R. 1993. Spatial data analysis in the social and environmental sciences. Cambridge University Press.Google Scholar
HAINING, R. P. 2003. Spatial data analysis. Cambridge University Press.Google Scholar
HAMMERSCHLAG, N., GALLAGHER, A. J., WESTER, J., LUO, J. & AULT, J. S. 2012. Don’t bite the hand that feeds: assessing ecological impacts of provisioning ecotourism on an apex marine predator. Functional Ecology, 26, 567–576.Google Scholar
HAMYLTON, S. 2011. Estimating the coverage of coral reef benthic communities from airborne hyperspectral remote sensing data: multiple discriminant function analysis and linear spectral unmixing. International Journal of Remote Sensing, 32, 9673–9690.Google Scholar
HAMYLTON, S. 2012. A comparison of spatially explicit and classic regression modelling of live coral cover using hyperspectral remote-sensing data in the Al Wajh Lagoon, Red Sea. International Journal of Geographical Information Science, 26, 2161–2175.Google Scholar
HAMYLTON, S. & EAST, H. 2012. A geospatial appraisal of ecological and geomorphic change on Diego Garcia Atoll, Chagos Islands (British Indian Ocean Territory). Remote Sensing, 4, 3444–3461.Google Scholar
HAMYLTON, S. M. & PROSPER, J. 2012. Development of a spatial data infrastructure for coastal management in the Amirante Islands, Seychelles. International Journal of Applied Earth Observation and Geoinformation, 19, 24–30.Google Scholar
HAMYLTON, S. M. & PUOTINEN, M. 2015. A meta-analysis of reef island response to environmental change on the Great Barrier Reef. Earth Surface Processes and Landforms, 40, 1006–1016.Google Scholar
HAMYLTON, S. & SPENCER, T. 2007. Classification of seagrass habitat structure as a response to wave exposure at Etoile Cay, Seychelles. EARSeL eProceedings, 6(2), 94–100.Google Scholar
HAMYLTON, S. & SPENCER, T. 2011. Geomorphological modelling of tropical marine landscapes: optical remote sensing, patches and spatial statistics. Continental Shelf Research, 31, S151–S161.Google Scholar
HAMYLTON, S., SPENCER, T. & HAGAN, A. 2012a. Spatial modelling of benthic cover using remote sensing data in the Aldabra lagoon, western Indian Ocean. Marine Ecology Progress Series, 460, 35–47.Google Scholar
HAMYLTON, S. M., HAGAN, A. B. & DOAK, N. 2012b. Observations of dugongs at Aldabra Atoll, western Indian Ocean: lagoon habitat mapping and spatial analysis of sighting records. International Journal of Geographical Information Science, 26, 839–853.Google Scholar
HAMYLTON, S., PESCUD, A., LEON, J. & CALLAGHAN, D. 2013. A geospatial assessment of the relationship between reef flat community calcium carbonate production and wave energy. Coral Reefs, 32, 1025–1039.Google Scholar
HAMYLTON, S., LEON, J. X., SAUNDERS, M. I. & WOODROFFE, C. 2014. Simulating reef response to sea-level rise at Lizard Island: a geospatial approach. Geomorphology, 222, 151–161.Google Scholar
HAMYLTON, S., CARVALHO, R., DUCE, S., ROELFSEMA, C. & VILA-CONCEJO, A. 2016. Linking pattern to process in reef sediment dynamics at Lady Musgrave Island, southern Great Barrier Reef. Sedimentology, 63, 1634–1650.Google Scholar
HANNA, E., NAVARRO, F. J., PATTYN, F., DOMINGUES, C. M., FETTWEIS, X., IVINS, E. R., NICHOLLS, R. J., RITZ, C., SMITH, B. & TULACZYK, S. 2013. Ice-sheet mass balance and climate change. Nature, 498, 51–59.Google Scholar
HARBORNE, A. R., MUMBY, P. J., ŻYCHALUK, K., HEDLEY, J. D. & BLACKWELL, P. G. 2006. Modeling the beta diversity of coral reefs. Ecology, 87, 2871–2881.CrossRefGoogle ScholarPubMed
HARBORNE, A. R., MUMBY, P. J. & FERRARI, R. 2012. The effectiveness of different meso-scale rugosity metrics for predicting intra-habitat variation in coral-reef fish assemblages. Environmental Biology of Fishes, 94, 431–442.Google Scholar
HARISS, M., PURKIS, S., ELLIS, J., SWART, P. & REIJMER, J. 2013. Mapping depositional facies on Great Bahama Bank: an integration of groundtruthing and remote sensing methods. In AGU Fall Meeting Abstracts, p. 1717.Google Scholar
HARLEY, C. D. & HELMUTH, B. S. 2003. Local- and regional-scale effects of wave exposure, thermal stress, and absolute versus effective shore level on patterns of intertidal zonation. Limnology and Oceanography, 48, 1498–1508.Google Scholar
HARLEY, J. B. 1989. Deconstructing the map. Cartographica: International Journal for Geographic Information and Geovisualization, 26, 1–20.Google Scholar
HARLEY, J. B. & LAXTON, P. 2002. The new nature of maps: essays in the history of cartography. Johns Hopkins University Press.Google Scholar
HARRIS, R. & JARVIS, C. 2014. Statistics for geography and environmental science. Routledge.Google Scholar
HASEGAWA, H. 1990. Shoreline changes of the Hatenohama coral sand cays at the eastern end of Kume Island, the Ryukyus, Japan. Geographical Review of Japan A, 63, 676–692.Google Scholar
HEDLEY, J. D. 2013. Hyperspectral applications. In Coral reef remote sensing, Eds J. A. Goodman, S. J. Purkis & S. R. Phinn, pp. 79–108. Springer.Google Scholar
HEDLEY, J. D. & MUMBY, P. J. 2003. A remote sensing method for resolving depth and subpixel composition of aquatic benthos. Limnology and Oceanography, 48, 480–488.Google Scholar
HEDLEY, J., HARBORNE, A. & MUMBY, P. 2005. Technical note: simple and robust removal of sun glint for mapping shallow-water benthos. International Journal of Remote Sensing, 26, 2107–2112.Google Scholar
HEDLEY, J., ROELFSEMA, C., KOETZ, B. & PHINN, S. 2012. Capability of the Sentinel 2 mission for tropical coral reef mapping and coral bleaching detection. Remote Sensing of Environment, 120, 145–155.Google Scholar
HEEZEN, B. C. & THARP, M. 1977. World Ocean Floor Panorama, for National Geographic magazine. Full Colour, Painted by H. Berann. Mercator Projection, Scale 1:23,230,300.Google Scholar
HEUMANN, B. W. 2011. Satellite remote sensing of mangrove forests: recent advances and future opportunities. Progress in Physical Geography, 35, 87–108.Google Scholar
HIJMANS, R. J., CAMERON, S. E., PARRA, J. L., JONES, P. G. & JARVIS, A. 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology, 25, 1965–1978.Google Scholar
HINCHEY, E. K., NICHOLSON, M. C., ZAJAC, R. N. & IRLANDI, E. A. 2008. Preface: marine and coastal applications in landscape ecology. Landscape Ecology, 23, Supplement 1, 1–5.Google Scholar
HINKEL, J. & KLEIN, R. J. 2009. Integrating knowledge to assess coastal vulnerability to sea-level rise: the development of the DIVA tool. Global Environmental Change, 19, 384–395.Google Scholar
HIRST, B. & TODD, P. 2003. Defining boundaries within the tidal interface. In Proc. Coastal GIS Conf., University of Wollongong, pp. 7–8. University of Wollongong Press.Google Scholar
HOCHBERG, E. J. & ATKINSON, M. 2000. Spectral discrimination of coral reef benthic communities. Coral Reefs, 19, 164–171.Google Scholar
HOCHBERG, E. J., ATKINSON, M. J. & ANDRÉFOUËT, S. 2003. Spectral reflectance of coral reef bottom-types worldwide and implications for coral reef remote sensing. Remote Sensing of Environment, 85, 159–173.CrossRefGoogle Scholar
HOCK, K., WOLFF, N. H., CONDIE, S. A., ANTHONY, K. & MUMBY, P. J. 2014. Connectivity networks reveal the risks of crown-of-thorns starfish outbreaks on the Great Barrier Reef. Journal of Applied Ecology, 51, 1188–1196.Google Scholar
HOLDEN, H. & LeDREW, E. 1998. Spectral discrimination of healthy and non-healthy corals based on cluster analysis, principal components analysis, and derivative spectroscopy. Remote Sensing of Environment, 65, 217–224.Google Scholar
HOLDEN, H. & LeDREW, E. 1999. Hyperspectral identification of coral reef features. International Journal of Remote Sensing, 20, 2545–2563.Google Scholar
HOLDEN, H. & LeDREW, E. 2000. Accuracy assessment of hyperspectral classification of coral reef features. Geocarto International, 15, 7–14.Google Scholar
HOSSAIN, M. S., CHOWDHURY, S. R., DAS, N. G., SHARIFUZZAMAN, S. & SULTANA, A. 2009. Integration of GIS and multicriteria decision analysis for urban aquaculture development in Bangladesh. Landscape and Urban Planning, 90, 119–133.Google Scholar
HUBBARD, D. 1997. Reefs as dynamic systems. In Life and death of coral reefs, Ed C. Birkeland, pp. 43–67. Chapman & Hall.Google Scholar
HUGHES, I. & HASE, T. 2010. Measurements and their uncertainties: a practical guide to modern error analysis. Oxford University Press.Google Scholar
HYLAND, J. L., VAN DOLAH, R. F. & SNOOTS, T. R. 1999. Predicting stress in benthic communities of southeastern US estuaries in relation to chemical contamination of sediments. Environmental Toxicology and Chemistry, 18, 2557–2564.Google Scholar
IERODIACONOU, D., MONK, J., RATTRAY, A., LAURENSON, L. & VERSACE, V. 2011. Comparison of automated classification techniques for predicting benthic biological communities using hydroacoustics and video observations. Continental Shelf Research, 31, S28–S38.Google Scholar
INKPEN, R. & WILSON, G. 2013. Science, philosophy and physical geography. Routledge.Google Scholar
INMAN, D. L. & NORDSTROM, C. 1971. On the tectonic and morphologic classification of coasts. Journal of Geology, 79, 1–21.Google Scholar
JACKSON, C. W. 2010. Basic user guide for the AMBUR package for R, version 1.0a.Google Scholar
JARMALAVIČIUS, D., SATKŪNAS, J., ŽILINSKAS, G. & PUPIENIS, D. 2012. Dynamics of beaches of the Lithuanian coast (the Baltic Sea) for the period 1993–2008 based on morphometric indicators. Environmental Earth Sciences, 65, 1727–1736.Google Scholar
JOHNSON, G. C., SLOYAN, B. M., KESSLER, W. S. & McTAGGART, K. E. 2002. Direct measurements of upper ocean currents and water properties across the tropical Pacific during the 1990s. Progress in Oceanography, 52, 31–61.Google Scholar
JOHNSTON, M. W. & PURKIS, S. J. 2011. Spatial analysis of the invasion of lionfish in the western Atlantic and Caribbean. Marine Pollution Bulletin, 62, 1218–1226.Google Scholar
JONES, E. J. W. 1999. Marine geophysics. John Wiley.Google Scholar
JORGENSEN, S. J., REEB, C. A., CHAPPLE, T. K., ANDERSON, S., PERLE, C., VAN SOMMERAN, S. R., FRITZ-COPE, C., BROWN, A. C., KLIMLEY, A. P. & BLOCK, B. A. 2010. Philopatry and migration of Pacific white sharks. Proceedings of the Royal Society B: Biological Sciences, 277, 679–688.Google Scholar
JOYCE, K. E. 2005. A method for mapping live coral cover using remote sensing. Unpublished PhD thesis, University of Queensland, Australia.Google Scholar
JOYCE, K. E. & PHINN, S. R. 2013. Spectral index development for mapping live coral cover. Journal of Applied Remote Sensing, 7, 073590.Google Scholar
JUPP, D. 1988. Background and extensions to depth of penetration (DOP) mapping in shallow coastal waters. In Proc. Symp. on Remote Sensing of the Coastal Zone, IV, pp. 2.1–2.19.Google Scholar
KARPOUZLI, E. & MALTHUS, T. 2003. The empirical line method for the atmospheric correction of IKONOS imagery. International Journal of Remote Sensing, 24, 1143–1150.Google Scholar
KERSHAW, K. A. 1957. The use of cover and frequency in the detection of pattern in plant communities. Ecology, 38, 291–299.Google Scholar
KINLAN, B. P. & GAINES, S. D. 2003. Propagule dispersal in marine and terrestrial environments: a community perspective. Ecology, 84, 2007–2020.Google Scholar
KIRKMAN, H. 1990. Seagrass distribution and mapping. Seagrass research methods. Monographs on Oceanographic Methodology, 9, 19–25.Google Scholar
KITSIOU, D., COCCOSSIS, H. & KARYDIS, M. 2002. Multi-dimensional evaluation and ranking of coastal areas using GIS and multiple criteria choice methods. Science of the Total Environment, 284, 1–17.Google Scholar
KLEISNER, K. M. 2010. Modeling the spatial autocorrelation of pelagic fish abundance. Marine Ecology Progress Series, 411, 203–213.Google Scholar
KLEMAS, V. 2012. Airborne remote sensing of coastal features and processes: an overview. Journal of Coastal Research, 29, 239–255.Google Scholar
KLEMAS, V. V. 2015. Coastal and environmental remote sensing from unmanned aerial vehicles: an overview. Journal of Coastal Research, 31, 1260–1267.Google Scholar
KLONOWSKI, W. M., FEARNS, P. R. & LYNCH, M. J. 2007. Retrieving key benthic cover types and bathymetry from hyperspectral imagery. Journal of Applied Remote Sensing, 1, 011505.Google Scholar
KOMAR, P. D. 1998. Beach processes and sedimentation. Prentice-Hall.Google Scholar
KRAAK, M.-J. & ORMELING, F. 2011. Cartography: visualization of spatial data. Guilford Press.Google Scholar
KRAAN, C., VAN DER MEER, J., DEKINGA, A. & PIERSMA, T. 2009. Patchiness of macrobenthic invertebrates in homogenized intertidal habitats: hidden spatial structure at a landscape scale. Marine Ecology Progress Series, 383, 211–224.Google Scholar
KRAAN, C., AARTS, G., VAN DER MEER, J. & PIERSMA, T. 2010. The role of environmental variables in structuring landscape-scale species distributions in seafloor habitats. Ecology, 91, 1583–1590.Google Scholar
KRITZER, J. P. & SALE, P. F. 2010. Marine metapopulations. Academic Press.Google Scholar
KULLDORFF, M. 1997. A spatial scan statistic. Communications in Statistics – Theory and Methods, 26, 1481–1496.Google Scholar
KULLDORFF, M. & NAGARWALLA, N. 1995. Spatial disease clusters: detection and inference. Statistics in Medicine, 14, 799–810.Google Scholar
KUTSER, T., PARSLOW, J., CLEMENTSON, L., SKIRVING, W., DONE, T., WAKEFORD, M. & MILLER, I. 2000a. Hyperspectral detection of coral reef bottom types. In Proc. of Ocean Optics XV, Monaco, 13pp., CD-ROM.Google Scholar
KUTSER, T., SKIRVING, W., PARSLOW, J., DONE, T., CLEMENTSON, L., WAKEFORD, M. & MILLER, I. 2000b. Hyperspectral detection of coral reef health. In Proc. 10th Australasian Remote Sensing Conf., Adelaide, pp. 931–948.Google Scholar
KUTSER, T., MILLER, I. & JUPP, D. L. 2006. Mapping coral reef benthic substrates using hyperspectral space-borne images and spectral libraries. Estuarine, Coastal and Shelf Science, 70, 449–460.Google Scholar
LANDGREBE, D. 1999. Information extraction principles and methods for multispectral and hyperspectral image data. Information Processing for Remote Sensing, 82, 3–38.Google Scholar
LEAMER, E. E. 1978. Specification searches: ad hoc inference with nonexperimental data. John Wiley.Google Scholar
LEATHWICK, J., MOILANEN, A., FRANCIS, M., ELITH, J., TAYLOR, P., JULIAN, K., HASTIE, T. & DUFFY, C. 2008. Novel methods for the design and evaluation of marine protected areas in offshore waters. Conservation Letters, 1, 91–102.Google Scholar
LE CORRE, N. J., JOHNSON, L. E., SMITH, G. K. & GUICHARD, F. 2015. Patterns and scales of connectivity: temporal stability and variation within a marine metapopulation. Ecology, 96, 2245–2256.Google Scholar
LEE, J. H., HUANG, Y., DICKMAN, M. & JAYAWARDENA, A. 2003. Neural network modelling of coastal algal blooms. Ecological Modelling, 159, 179–201.Google Scholar
LEE, Z., CARDER, K. L., MOBLEY, C. D., STEWARD, R. G. & PATCH, J. S. 1998. Hyperspectral remote sensing for shallow waters. 1. A semianalytical model. Applied Optics, 37, 6329–6338.Google Scholar
LEE, Z., CARDER, K. L., MOBLEY, C. D., STEWARD, R. G. & PATCH, J. S. 1999. Hyperspectral remote sensing for shallow waters: 2. Deriving bottom depths and water properties by optimization. Applied Optics, 38, 3831–3843.Google Scholar
LEFSKY, M. A., COHEN, W. B., PARKER, G. G. & HARDING, D. J. 2002. Lidar remote sensing for ecosystem studies. BioScience, 52, 19–30.Google Scholar
LEGENDRE, P. 1993. Spatial autocorrelation: trouble or new paradigm? Ecology, 74, 1659–1673.Google Scholar
LEGENDRE, P. & FORTIN, M. J. 1989. Spatial pattern and ecological analysis. Vegetatio, 80, 107–138.Google Scholar
LEGENDRE, P. & TROUSSELLIER, M. 1988. Aquatic heterotrophic bacteria: modeling in the presence of spatial autocorrelation. Limnology and Oceanography, 33, 1055–1067.Google Scholar
LEGENDRE, P., DALE, M. R., FORTIN, M. J., GUREVITCH, J., HOHN, M. & MYERS, D. 2002. The consequences of spatial structure for the design and analysis of ecological field surveys. Ecography, 25, 601–615.Google Scholar
LEON, J. 2010. Torres Strait reefs and carbonate production: a geospatial approach. Thesis, School of Earth and Environmental Sciences, University of Wollongong, Australia.Google Scholar
LEON, J. & WOODROFFE, C. D. 2011. Improving the synoptic mapping of coral reef geomorphology using object-based image analysis. International Journal of Geographical Information Science, 25, 949–969.Google Scholar
LESSER, M. & MOBLEY, C. 2007. Bathymetry, water optical properties, and benthic classification of coral reefs using hyperspectral remote sensing imagery. Coral Reefs, 26, 819–829.Google Scholar
LINTZ, J. & SIMONETT, D. 1976. Remote sensing of environment. Addison Wesley.Google Scholar
LIU, H., SHERMAN, D. & GU, S. 2007. Automated extraction of shorelines from airborne light detection and ranging data and accuracy assessment based on Monte Carlo simulation. Journal of Coastal Research, 23, 1359–1369.Google Scholar
LIVINGSTONE, D. 1993. The geographical tradition: episodes in the history of a contested enterprise. Wiley-Blackwell.Google Scholar
LLOYD, C. 2010. Spatial data analysis: an introduction for GIS users. Oxford University Press.Google Scholar
LONGHURST, A. R. 2010. Ecological geography of the sea. Academic Press.Google Scholar
LOUCHARD, E. M., REID, R. P., STEPHENS, F. C., DAVIS, C. O., LEATHERS, R. A. & DOWNES, T. V. 2003. Optical remote sensing of benthic habitats and bathymetry in coastal environments at Lee Stocking Island, Bahamas: a comparative spectral classification approach. Limnology and Oceanography, 48, 511–521.Google Scholar
LOYA, Y. 1972. Community structure and species diversity of hermatypic corals at Eilat, Red Sea. Marine Biology, 13, 100–123.Google Scholar
LU, D., MAUSEL, P., BATISTELLA, M. & MORAN, E. 2005. Land-cover binary change detection methods for use in the moist tropical region of the Amazon: a comparative study. International Journal of Remote Sensing, 26, 101–114.Google Scholar
LUCZKOVICH, J. J., WAGNER, T., MICHALEK, J. & STOFFLE, R. 1993. Discrimination of coral reefs, seagrass meadows, and sand bottom types from space: a Dominican Republic case study. Photogrammetric Engineering and Remote Sensing, 59, 385–389.Google Scholar
LUNDBLAD, E., WRIGHT, D., MILLER, J., LARKIN, E., RINEHART, R., BATTISTA, T., ANDERSON, S., NAAR, D. & DONAHUE, B. 2006. Classifying benthic terrains with multibeam bathymetry, bathymetric position and rugosity: Tutuila, American Samoa. Marine Geodesy, 29, 89–111.Google Scholar
LUŠIĆ, Z. 2013. The use of horizontal and vertical angles in terrestrial navigation. Transactions on Maritime Science, 2, 5–14.Google Scholar
LYZENGA, D. R. 1978. Passive remote sensing techniques for mapping water depth and bottom features. Applied Optics, 17, 379–383.Google Scholar
LYZENGA, D. R. 1981. Remote sensing of bottom reflectance and water attenuation parameters in shallow water using aircraft and Landsat data. International Journal of Remote Sensing, 2, 71–82.Google Scholar
MA, Z. & REDMOND, R. L. 1995. Tau coefficients for accuracy assessment of classification of remote sensing data. Photogrammetric Engineering and Remote Sensing, 61, 435–439.Google Scholar
MacARTHUR, R. H. & WILSON, E. O. 1967. The theory of island biogeography. Princeton University Press.Google Scholar
MACLEOD, R. D. & CONGALTON, R. G. 1998. A quantitative comparison of change-detection algorithms for monitoring eelgrass from remotely sensed data. Photogrammetric Engineering and Remote Sensing, 64, 207–216.Google Scholar
MALTHUS, T. J. & MUMBY, P. J. 2003. Remote sensing of the coastal zone: an overview and priorities for future research. International Journal of Remote Sensing, 24, 2805–2815.Google Scholar
MANDELBROT, B. B. 1967. How long is the coast of Britain. Science, 156, 636–638.Google Scholar
MARTINEZ, P. A. & HARBAUGH, J. W. 1989. Computer simulation of wave and fluvial-dominated nearshore environments. In Applications in coastal modeling, Eds Lakhan, V. C. & Trenhaile, A. S., Elsevier Oceanography Series, vol. 49, pp. 297–340. Elsevier.Google Scholar
MARTINO, R. L. & SANDERSON, D. D. 1993. Fourier and autocorrelation analysis of estuarine tidal rhythmites, lower Breathitt Formation (Pennsylvanian), eastern Kentucky, USA. Journal of Sedimentary Research, 63, 105–119.Google Scholar
MATHER, P. M. 1979. Theory and quantitative methods in geomorphology. Progress in Physical Geography, 3, 471–487.Google Scholar
MATHER, P. M. & KOCH, M. 2011. Computer processing of remotely-sensed images: an introduction. John Wiley.Google Scholar
MAXWELL, D., STELZENMÜLLER, V., EASTWOOD, P. & ROGERS, S. 2009. Modelling the spatial distribution of plaice (Pleuronectes platessa), sole (Solea solea) and thornback ray (Raja clavata) in UK waters for marine management and planning. Journal of Sea Research, 61, 258–267.Google Scholar
MAY, V. 1993. Coastal tourism, geomorphology and geological conservation: the example of south central England. In Tourism vs environment: the case for coastal areas, Ed P. P. Wong. Springer.Google Scholar
McBRATNEY, A. B. & WEBSTER, R. 1986. Choosing functions for semi-variograms of soil properties and fitting them to sampling estimates. Journal of Soil Science, 37, 617–639.Google Scholar
McCUTCHEON, S. & McCUTCHEON, B. 2003. The facts on file marine science handbook. Infobase.Google Scholar
McGARVEY, R., FEENSTRA, J. E., MAYFIELD, S. & SAUTTER, E. V. 2010. A diver survey method to quantify the clustering of sedentary invertebrates by the scale of spatial autocorrelation. Marine and Freshwater Research, 61, 153–162.Google Scholar
McGRANAHAN, G., BALK, D. & ANDERSON, B. 2007. The rising tide: assessing the risks of climate change and human settlements in low elevation coastal zones. Environment and Urbanization, 19, 17–37.Google Scholar
McINTYRE, M. L., NAAR, D. F., CARDER, K. L., DONAHUE, B. T. & MALLINSON, D. J. 2006. Coastal bathymetry from hyperspectral remote sensing data: comparisons with high resolution multibeam bathymetry. Marine Geophysical Researches, 27, 129–136.Google Scholar
McKERGOW, L. A., PROSSER, I. P., HUGHES, A. O. & BRODIE, J. 2005. Sources of sediment to the Great Barrier Reef world heritage area. Marine Pollution Bulletin, 51, 200–211.Google Scholar
McLAUGHLIN, S., McKENNA, J. & COOPER, J. 2002. Socio-economic data in coastal vulnerability indices: constraints and opportunities. Journal of Coastal Research, 36, 487–497.Google Scholar
McLEAN, R., STODDART, D., HOPLEY, D. & POLACH, H. 1978. Sea level change in the Holocene on the northern Great Barrier Reef. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 291, 167–186.Google Scholar
MEEKAN, M., STEVEN, A. & FORTIN, M. 1995. Spatial patterns in the distribution of damselfishes on a fringing coral reef. Coral Reefs, 14, 151–161.Google Scholar
MELLIN, C., RUSSELL, B. D., CONNELL, S. D., BROOK, B. W. & FORDHAM, D. A. 2012. Geographic range determinants of two commercially important marine molluscs. Diversity and Distributions, 18, 133–146.Google Scholar
MELTON, M. A. 1957. An analysis of the relations among elements of climate, surface properties, and geomorphology. Technical Report No. 11, Office of Naval Research.Google Scholar
MERRITTS, D. & VINCENT, K. R. 1989. Geomorphic response of coastal streams to low, intermediate, and high rates of uplift, Medocino triple junction region, northern California. Geological Society of America Bulletin, 101, 1373–1388.Google Scholar
MERTON, L., BOURN, D. & HNATIUK, R. 1976. Giant tortoise and vegetation interactions on Aldabra Atoll – Part 1: Inland. Biological Conservation, 9, 293–304.Google Scholar
MICHALEK, J. L., WAGNER, T. W., LUCZKOVICH, J. J. & STOFFLE, R. W. 1993. Multispectral change vector analysis for monitoring coastal marine environments. Photogrammetric Engineering and Remote Sensing, 59, 381–384.Google Scholar
MILLER, J. 2010. Species distribution modeling. Geography Compass, 4, 490–509.Google Scholar
MILNE, P. 1972. In situ underwater surveying by plane table and alidade. Underwater Journal and Information Bulletin, 4, 59–63.Google Scholar
MILTON, E. 1987. Review article principles of field spectroscopy. Remote Sensing, 8, 1807–1827.Google Scholar
MOBLEY, C. D. 1994. Light and water: radiative transfer in natural waters. Academic Press.Google Scholar
MOORE, L. J. 2000. Shoreline mapping techniques. Journal of Coastal Research, 16, 111–124.Google Scholar
MORTON, R. A., GIBEAUT, J. C. & PAINE, J. G. 1995. Meso-scale transfer of sand during and after storms: implications for prediction of shoreline movement. Marine Geology, 126, 161–179.Google Scholar
MUMBY, P. & GREEN, E. 2000. Mapping coral reefs and macroalgae. In Remote sensing handbook for tropical coastal management, Eds E. P. Green, P. J. Mumby, A. J. Edwards & C. D. Clark, pp. 155–174. Unesco.Google Scholar
MUMBY, P. J., SKIRVING, W., STRONG, A. E., HARDY, J. T., LeDREW, E. F., HOCHBERG, E. J., STUMPF, R. P. & DAVID, L. T. 2004. Remote sensing of coral reefs and their physical environment. Marine Pollution Bulletin, 48, 219–228.Google Scholar
MUSSETTER, W. 1956. Tacheometric surveying. Surveying and Mapping, 16, 137–156.Google Scholar
MUTTITANON, W. & TRIPATHI, N. 2005. Land use/land cover changes in the coastal zone of Ban Don Bay, Thailand using Landsat 5 TM data. International Journal of Remote Sensing, 26, 2311–2323.Google Scholar
MYERS, M., HARDY, J., MAZEL, C. & DUSTAN, P. 1999. Optical spectra and pigmentation of Caribbean reef corals and macroalgae. Coral Reefs, 18, 179–186.Google Scholar
NASON, J. 1975. Reconnaissance and plot mapping of coral atolls: a simplified rangefinder method. Atoll Research Bulletin, 185, 13–20.Google Scholar
NAVEH, Z. 1987. Biocybernetic and thermodynamic perspectives of landscape functions and land use patterns. Landscape Ecology, 1, 75–83.Google Scholar
NAVIDI, W., MURPHY, W. S. & HEREMAN, W. 1998. Statistical methods in surveying by trilateration. Computational Statistics & Data Analysis, 27, 209–227.Google Scholar
NELLEMANN, C. & CAMERON, R. D. 1996. Effects of petroleum development on terrain preferences of calving caribou. Arctic, 49, 23–28.Google Scholar
NELSON, J. 1993. Conservation and use of the Mai Po Marshes, Hong Kong. Natural Areas Journal, 13, 215–219.Google Scholar
NEREM, R. S., LEULIETTE, E. & CAZENAVE, A. 2006. Present-day sea-level change: a review. Comptes Rendus Geoscience, 338, 1077–1083.Google Scholar
NEUMANN, B., VAFEIDIS, A. T., ZIMMERMANN, J. & NICHOLLS, R. J. 2015. Future coastal population growth and exposure to sea-level rise and coastal flooding – a global assessment. PloS one, 10, e0118571.Google Scholar
NOETZLI, J., HUGGEL, C., HOELZLE, M. & HAEBERLI, W. 2006. GIS-based modelling of rock–ice avalanches from Alpine permafrost areas. Computational Geosciences, 10, 161–178.Google Scholar
ODEN, S. R. 1978. Spatial autocorrelation in biology. 1. Methodology. Biological Journal of the Linnean Society, 10, 199–228.Google Scholar
O’DRISCOLL, R. L. 1998. Description of spatial pattern in seabird distributions along line transects using neighbour K statistics. Marine Ecology Progress Series, 165, 81–94.Google Scholar
ODUM, E. P., ODUM, H. T. & ANDREWS, J. 1971. Fundamentals of ecology. W. B. Saunders.Google Scholar
OGDEN, J. 1997. Ecosystem interactions in the tropical coastal seascape. In Life and death of coral reefs, Ed C. Birkeland, pp. 288–297. Chapman and Hall.Google Scholar
OLIVER, T. S., ROGERS, K., CHAFER, C. J. & WOODROFFE, C. D. 2012. Measuring, mapping and modelling: an integrated approach to the management of mangrove and saltmarsh in the Minnamurra River estuary, southeast Australia. Wetlands Ecology and Management, 20, 353–371.Google Scholar
OLSEN, M. J., YOUNG, A. P. & ASHFORD, S. A. 2012. TopCAT – topographical compartment analysis tool to analyze seacliff and beach change in GIS. Computers & Geosciences, 45, 284–292.Google Scholar
O’NEILL, R. V., RIITTERS, K. H., WICKHAM, J. & JONES, K. B. 1999. Landscape pattern metrics and regional assessment. Ecosystem Health, 5, 225–233.Google Scholar
PAINE, R. T. & LEVIN, S. A. 1981. Intertidal landscapes: disturbance and the dynamics of pattern. Ecological Monographs, 51, 145–178.Google Scholar
PANIGADA, S., ZANARDELLI, M., MACKENZIE, M., DONOVAN, C., MÉLIN, F. & HAMMOND, P. S. 2008. Modelling habitat preferences for fin whales and striped dolphins in the Pelagos Sanctuary (western Mediterranean Sea) with physiographic and remote sensing variables. Remote Sensing of Environment, 112, 3400–3412.Google Scholar
PATTON, D. R. 1975. A diversity index for quantifying habitat ‘edge’. Wildlife Society Bulletin, 3, 171–173.Google Scholar
PAUL, R. W. & BINKER, A. 1990. Critical thinking: what every person needs to survive in a rapidly changing world. Center for Critical Thinking and Moral Critique.Google Scholar
PEREIRA, E., BENCATEL, R., CORREIA, J., FÉLIX, L., GONÇALVES, G., MORGADO, J. & SOUSA, J. 2009. Unmanned air vehicles for coastal and environmental research. Journal of Coastal Research, 25, Special Issue 56, 1557–1561.Google Scholar
PÉREZ-ALBERTI, A. & TRENHAILE, A. S. 2015. An initial evaluation of drone-based monitoring of boulder beaches in Galicia, north-western Spain. Earth Surface Processes and Landforms, 40, 105–111.Google Scholar
PETERSON, D. L., BRASS, J. A., SMITH, W. H., LANGFORD, G., WEGENER, S., DUNAGAN, S., HAMMER, P. & SNOOK, K. 2003. Platform options of free-flying satellites, UAVs or the International Space Station for remote sensing assessment of the littoral zone. International Journal of Remote Sensing, 24, 2785–2804.Google Scholar
PHILPOT, W. D. 1989. Bathymetric mapping with passive multispectral imagery. Applied Optics, 28, 1569–1578.Google Scholar
PHINN, S. R., ROELFSEMA, C. M. & MUMBY, P. J. 2012. Multi-scale, object-based image analysis for mapping geomorphic and ecological zones on coral reefs. International Journal of Remote Sensing, 33, 3768–3797.Google Scholar
PINCKNEY, J. & SANDULLI, R. 1990. Spatial autocorrelation analysis of meiofaunal and microalgal populations on an intertidal sandflat: scale linkage between consumers and resources. Estuarine, Coastal and Shelf Science, 30, 341–353.Google Scholar
POLOCZANSKA, E. S., HAWKINS, S. J., SOUTHWARD, A. J. & BURROWS, M. T. 2008. Modeling the response of populations of competing species to climate change. Ecology, 89, 3138–3149.Google Scholar
POPPER, K. 2014. Conjectures and refutations: the growth of scientific knowledge. Routledge.Google Scholar
PRICE, W. A. 1954. Dynamic environments: reconnaissance mapping, geologic and geomorphic, of continental shelf of Gulf of Mexico. Transactions of the Gulf Coast Association of Geological Societies, 4, 75–107.Google Scholar
PRICE, W. A. 1955. Correlation of shoreline type with offshore bottom conditions. Department of Oceanography, Agricultural and Mechanical College of Texas.Google Scholar
PUOTINEN, M. 2007. Modelling the risk of cyclone wave damage to coral reefs using GIS: a case study of the Great Barrier Reef, 1969–2003. International Journal of Geographical Information Science, 21, 97–120.Google Scholar
PURKIS, S. J. 2005. A ‘reef-up’ approach to classifying coral habitats from IKONOS imagery. IEEE Transactions on Geoscience and Remote Sensing, 43, 1375–1390.Google Scholar
PURKIS, S. J. & BROCK, J. C. 2013. Lidar overview. In Coral reef remote sensing, Eds J. A. Goodman, S. J. Purkis & S. R. Phinn, pp. 115–138. Springer.Google Scholar
RAAIJMAKERS, R., KRYWKOW, J. & VAN DER VEEN, A. 2008. Flood risk perceptions and spatial multi-criteria analysis: an exploratory research for hazard mitigation. Natural Hazards, 46, 307–322.Google Scholar
RADIARTA, I. N., SAITOH, S.-I. & MIYAZONO, A. 2008. GIS-based multi-criteria evaluation models for identifying suitable sites for Japanese scallop (Mizuhopecten yessoensis) aquaculture in Funka Bay, southwestern Hokkaido, Japan. Aquaculture, 284, 127–135.Google Scholar
RALPH, P. J. & SHORT, F. T. 2002. Impact of the wasting disease pathogen, Labyrinthula zosterae, on the photobiology of eelgrass Zostera marina. Marine Ecology Progress Series, 226, e271.Google Scholar
REDFERN, J., FERGUSON, M., BECKER, E., HYRENBACH, K., GOOD, C. P., BARLOW, J., KASCHNER, K., BAUMGARTNER, M. F., FORNEY, K. & BALLANCE, L. 2006. Techniques for cetacean-habitat modeling. Marine Ecology Progress Series, 310, 271–295.Google Scholar
REES, G. 1999. The remote sensing data book. Cambridge University Press.Google Scholar
REISS, H., CUNZE, S., KÖNIG, K., NEUMANN, H. & KRÖNCKE, I. 2011. Species distribution modelling of marine benthos: a North Sea case study. Marine Ecology Progress Series, 442, 71–86.Google Scholar
REY, S. J. & ANSELIN, L. 2010. PySAL: a Python library of spatial analytical methods. In Handbook of applied spatial analysis. Springer.Google Scholar
RICHARDS, K. 2009. Geography and the physical sciences tradition. Key Concepts in Geography, 2, 21–45.Google Scholar
RICHARDSON, P. L. & WALSH, D. 1986. Mapping climatological seasonal variations of surface currents in the tropical Atlantic using ship drifts. Journal of Geophysical Research: Oceans, 91, 10537–10550.Google Scholar
RIEGL, B. & GUARIN, H. 2013. Acoustic methods overview. In Coral reef remote sensing. Springer.Google Scholar
RIITTERS, K. H., O’NEILL, R., HUNSAKER, C., WICKHAM, J. D., YANKEE, D., TIMMINS, S., JONES, K. & JACKSON, B. 1995. A factor analysis of landscape pattern and structure metrics. Landscape Ecology, 10, 23–39.Google Scholar
RIPLEY, B. D. 1991. Statistical inference for spatial processes. Cambridge University Press.Google Scholar
RITZ, D. A. 1994. Social aggregation in pelagic invertebrates. Advances in Marine Biology, 30, 155–216.Google Scholar
ROBBINS, B. D. & BELL, S. S. 1994. Seagrass landscapes: a terrestrial approach to the marine subtidal environment. Trends in Ecology & Evolution, 9(8), 301–304.Google Scholar
ROBINSON, A. H. 1958. Elements of cartography. John Wiley.Google Scholar
ROBINSON, I. S. 2004. Measuring the oceans from space: the principles and methods of satellite oceanography. Springer.Google Scholar
ROBINSON, L., ELITH, J., HOBDAY, A., PEARSON, R., KENDALL, B., POSSINGHAM, H. & RICHARDSON, A. 2011. Pushing the limits in marine species distribution modelling: lessons from the land present challenges and opportunities. Global Ecology and Biogeography, 20, 789–802.Google Scholar
ROCA, E., GAMBOA, G. & TÀBARA, J. D. 2008. Assessing the multidimensionality of coastal erosion risks: public participation and multicriteria analysis in a Mediterranean coastal system. Risk Analysis, 28, 399–412.Google Scholar
RODGERS III, J. C., MURRAH, A. W. & COOKE, W. H. 2009. The impact of Hurricane Katrina on the coastal vegetation of the Weeks Bay Reserve, Alabama from NDVI data. Estuaries and Coasts, 32, 496–507.Google Scholar
ROELFSEMA, C. & PHINN, S. 2006. Spectral reflectance library of selected biotic and abiotic coral reef features in Heron Reef. Centre for Remote Sensing & Spatial Information Science, University of Queensland.Google Scholar
ROGERS, K., SAINTILAN, N. & COPELAND, C. 2012. Modelling wetland surface elevation dynamics and its application to forecasting the effects of sea-level rise on estuarine wetlands. Ecological Modelling, 244, 148–157.Google Scholar
ROSSER, N. J., PETLEY, D. N., LIM, M., DUNNING, S. & ALLISON, R. J. 2005. Terrestrial laser scanning for monitoring the process of hard rock coastal cliff erosion. Quarterly Journal of Engineering Geology and Hydrogeology, 38, 363–375.Google Scholar
ROVERE, A., CASELLA, E., VACCHI, M., MUCERINO, L., PEDRONCINI, A., FERRARI, M. & FIRPO, M. 2014. Monitoring beach evolution using low-altitude aerial photogrammetry and UAV drones. In EGU General Assembly Conf. Abstracts, 8341. Copernicus Publications.Google Scholar
SALA, E. & GRAHAM, M. H. 2002. Community-wide distribution of predator–prey interaction strength in kelp forests. Proceedings of the National Academy of Sciences, 99, 3678–3683.Google Scholar
SALLENGER JR, A., KRABILL, W., SWIFT, R., BROCK, J., LIST, J., HANSEN, M., HOLMAN, R., MANIZADE, S., SONTAG, J. & MEREDITH, A. 2003. Evaluation of airborne topographic lidar for quantifying beach changes. Journal of Coastal Research, 19, 125–133.Google Scholar
SANDULLI, R. & PINCKNEY, J. 1999. Patch sizes and spatial patterns of meiobenthic copepods and benthic microalgae in sandy sediments: a microscale approach. Journal of Sea Research, 41, 179–187.Google Scholar
SAUNDERS, M. I., LEON, J. X., CALLAGHAN, D. P., ROELFSEMA, C. M., HAMYLTON, S., BROWN, C. J., BALDOCK, T., GOLSHANI, A., PHINN, S. R. & LOVELOCK, C. E. 2014. Interdependency of tropical marine ecosystems in response to climate change. Nature Climate Change, 4, 724–729.Google Scholar
SCHNEIDER, D. C. 1990. Spatial autocorrelation in marine birds. Polar Research, 8, 89–97.Google Scholar
SCOFFIN, T. 1982. Reef aerial photography from a kite. Coral Reefs, 1, 67–69.Google Scholar
SCOFFIN, T. 1993. The geological effects of hurricanes on coral reefs and the interpretation of storm deposits. Coral Reefs, 12, 203–221.Google Scholar
SHALABY, A. & TATEISHI, R. 2007. Remote sensing and GIS for mapping and monitoring land cover and land-use changes in the northwestern coastal zone of Egypt. Applied Geography, 27, 28–41.Google Scholar
SHARPLES, C., MOUNT, R. & PEDERSEN, T. 2009. The Australian coastal smartline geomorphic and stability map, Version 1: Manual and data dictionary. Report of the University of Tasmania, for the Department of Climate Change and Geoscience, Australia.Google Scholar
SHEPPARD, C. R. 1998. Biodiversity patterns in Indian Ocean corals, and effects of taxonomic error in data. Biodiversity & Conservation, 7, 847–868.Google Scholar
SHI, W., FISHER, P. & GOODCHILD, M. F. 2003. Spatial data quality. CRC Press.Google Scholar
SHIH, S.-M. & KOMAR, P. D. 1994. Sediments, beach morphology and sea cliff erosion within an Oregon coast littoral cell. Journal of Coastal Research, 10, 144–157.Google Scholar
SIEBERT, T. & BRANCH, G. M. 2007. Influences of biological interactions on community structure within seagrass beds and sandprawn-dominated sandflats. Journal of Experimental Marine Biology and Ecology, 340, 11–24.Google Scholar
SINGH, A. 1989. Digital change detection techniques using remotely-sensed data. International Journal of Remote Sensing, 10, 989–1003.Google Scholar
SKLAR, F. H., COSTANZA, R. & DAY, J. W. 1985. Dynamic spatial simulation modeling of coastal wetland habitat succession. Ecological Modelling, 29, 261–281.Google Scholar
SKOP, E. & SØRENSEN, P. B. 1998. GIS-based modelling of solute fluxes at the catchment scale: a case study of the agricultural contribution to the riverine nitrogen loading in the Vejle Fjord catchment, Denmark. Ecological Modelling, 106, 291–310.Google Scholar
SLAYMAKER, O. & EMBLETON-HAMANN, C. 2009. Geomorphology and global environmental change. Cambridge University Press.Google Scholar
SMITH, T. M., HINDELL, J. S., JENKINS, G. P., CONNOLLY, R. M. & KEOUGH, M. J. 2011. Edge effects in patchy seagrass landscapes: the role of predation in determining fish distribution. Journal of Experimental Marine Biology and Ecology, 399, 8–16.Google Scholar
SOBEL, D. 2007. Longitude: the true story of a lone genius who solved the greatest scientific problem of his time. Bloomsbury.Google Scholar
SPALDING, M., RAVILIOUS, C. & GREEN, E. P. 2001. World atlas of coral reefs. University of California Press.Google Scholar
SPEAK, P. 2008. Deb: geographer, scientist, Antarctic explorer; a biography of Frank Debenham. Polar.Google Scholar
SPENCER, T., HAGAN, A. & HAMYLTON, S. 2009. Atlas of the Amirantes. Department of Geography, University of Cambridge.Google Scholar
STEELE, J. H. 1991. Can ecological theory cross the land–sea boundary? Journal of Theoretical Biology, 153, 425–436.Google Scholar
STEERS, J. A. 1929. The Queensland coast and the Great Barrier Reefs. Geographical Journal, 74, 232–257.Google Scholar
STEERS, J. A. 1945. Coral reefs and air photography. Geographical Journal, 106, 232–235.Google Scholar
STEHMAN, S. 1996. Estimating the kappa coefficient and its variance under stratified random sampling. Photogrammetric Engineering and Remote Sensing, 62, 401–407.Google Scholar
STELZENMÜLLER, V., ROGERS, S. I. & MILLS, C. M. 2008. Spatio-temporal patterns of fishing pressure on UK marine landscapes, and their implications for spatial planning and management. ICES Journal of Marine Science: Journal du Conseil, 65, 1081–1091.Google Scholar
STEPHENSON, T. & STEPHENSON, A. 1949. The universal features of zonation between tide-marks on rocky coasts. Journal of Ecology, 37, 289–305.Google Scholar
STEVENS, S. S. 1946. On the theory of scales of measurement. Science, 103, 677–680.Google Scholar
STIEGELER, S. E. 1977. Dictionary of Earth sciences. Pica Press.Google Scholar
STOCKDON, H. F., SALLENGER JR, A. H., LIST, J. H. & HOLMAN, R. A. 2002. Estimation of shoreline position and change using airborne topographic lidar data. Journal of Coastal Research, 18, 502–513.Google Scholar
STOCKER, T. F. 2014. Climate change 2013: the physical science basis. Working Group I contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press.Google Scholar
STODDART, D. R. 1962. Three Caribbean atolls: Turneffe Islands, Lighthouse Reef, and Glover’s Reef, British Honduras. Atoll Research Bulletin 87. Pacific Science Board, National Academy of Sciences.Google Scholar
STODDART, D. R. 1978. Mapping reefs and islands. In Coral reefs: research methods, Eds Stoddart, D. R. & Johannes, R. E., Monographs on Oceanographic Methodology, pp. 17–22. Unesco.Google Scholar
STODDART, D. R. & STEERS, J. 1977. The nature and origin of coral reef islands. Biology and Geology of Coral Reefs, 4, 59–105.Google Scholar
STODDART, D. R. & TAYLOR, J. 1971. Geography and ecology of Diego Garcia Atoll, Chagos Archipelago. Smithsonian Institution.Google Scholar
STODDART, D. R., McLEAN, R., SCOFFIN, T. & GIBBS, P. 1978. Forty-five years of change on low wooded islands, Great Barrier Reef. Philosophical Transactions of the Royal Society B: Biological Sciences, 284, 63–80.Google Scholar
STOW, D., TINNEY, L. & ESTES, J. 1980. Deriving land use/land cover change statistics from LANDSAT: a study of prime agricultural land. In Proc. Int. Symp. on Remote Sensing of Environment, pp. 1–11.Google Scholar
STRONG, A. E. & McCLAIN, E. P. 1984. Improved ocean surface temperatures from space – comparisons with drifting buoys. Bulletin of the American Meteorological Society, 65, 138–142.Google Scholar
STUMPF, R. P., HOLDERIED, K. & SINCLAIR, M. 2003. Determination of water depth with high-resolution satellite imagery over variable bottom types. Limnology and Oceanography, 48, 547–556.Google Scholar
SUMMERFIELD, M. A. 2014. Global geomorphology. Routledge.Google Scholar
SWALES, A., BENTLEY, S. J., LOVELOCK, C. & BELL, R. G. 2007. Sediment processes and mangrove-habitat expansion on a rapidly-prograding muddy coast, New Zealand. In Proc. Coastal Sediments ’07, pp. 1441–1454. ASCE.Google Scholar
TAIT, R. V. & DIPPER, F. 1998. Elements of marine ecology. Butterworth-Heinemann.Google Scholar
TANNER, C. C., MIGDAL, C. J. & JONES, M. T. 1998. The clipmap: a virtual mipmap. In Proc. 25th Annual Conf. on Computer Graphics and Interactive Techniques, pp. 151–158. ACM.Google Scholar
TANNER, J. E. 2005. Edge effects on fauna in fragmented seagrass meadows. Austral Ecology, 30, 210–218.Google Scholar
TEICHERT, C. 1995. Photointerpretation of coral reefs in Australia during World War II. Carbonates and Evaporites, 10, 102–104.Google Scholar
THARP, M. 1999. Connect the dots: mapping the seafloor and discovering the mid-ocean ridge. In Lamont-Doherty Earth Observatory: twelve perspectives on the first fifty years, 1949–1999, Ed. Lippsett, L.. Lamont-Doherty Earth Observatory of Columbia University. See Woods Hole Oceanographic Institution. Mary Sears Woman Pioneer in Oceanography Award. Marie Tharp bio. Available at http://www.whoi.edu/sbl/liteSite.do?litesiteid=9092&articleId=13407.Google Scholar
THIELER, E. R. & DANFORTH, W. W. 1994. Historical shoreline mapping (I): improving techniques and reducing positioning errors. Journal of Coastal Research, 10, 549–563.Google Scholar
THIELER, E. R., SMITH, T. L., KNISEL, J. M. & SAMPSON, D. W. 2013. Massachusetts Shoreline Change Mapping and Analysis Project, 2013 Update. US Geological Survey.Google Scholar
THRUSH, S. F. 1991. Spatial patterns in soft-bottom communities. Trends in Ecology & Evolution, 6, 75–79.Google Scholar
TOBLER, W. R. 1970. A computer movie simulating urban growth in the Detroit region. Economic Geography, 46, Supplement, 234–240.Google Scholar
TOLSTOY, I. & CLAY, C. S. 1966. Ocean acoustics. McGraw-Hill.Google Scholar
TOMLIN, D. C. 1990. Geographic information systems and cartographic modeling. Prentice-Hall.Google Scholar
TORRES, L. G., ROSEL, P. E., D’AGROSA, C. & READ, A. J. 2003. Improving management of overlapping bottlenose dolphin ecotypes through spatial analysis and genetics. Marine Mammal Science, 19, 502–514.Google Scholar
TROLL, C. 1939. Luftbildplan und ökologische Bodenforschung: ihr zweckmäßiger Einsatz für die wissenschaftliche Erforschung und praktische Erschließung wenig bekannter Länder. Zeitschrift der Gesellschaft für Erdkunde zu Berlin, 1939(7/8), 241–298.Google Scholar
TUKEY, J. W. 1977. Exploratory data analysis. Addison-Wesley.Google Scholar
UNWIN, D. J. 1995. Geographical information systems and the problem of ‘error and uncertainty’. Progress in Human Geography, 19, 549–558.Google Scholar
UPTON, G. & FINGLETON, B. 1985. Spatial data analysis by example, vol. 1, Point pattern and quantitative data. John Wiley.Google Scholar
VALAVANIS, V. D., PIERCE, G. J., ZUUR, A. F., PALIALEXIS, A., SAVELIEV, A., KATARA, I. & WANG, J. 2008. Modelling of essential fish habitat based on remote sensing, spatial analysis and GIS. Hydrobiologia, 612, 5–20.Google Scholar
VALDES, M. J. 1981. Heuristic models of inquiry. New Literary History, 12, 253–267.Google Scholar
VEIT, R. R., SILVERMAN, E. D. & EVERSON, I. 1993. Aggregation patterns of pelagic predators and their principal prey, Antarctic krill, near South Georgia. Journal of Animal Ecology, 62, 551–564.Google Scholar
VELIMIROV, B. & GRIFFITHS, C. 1979. Wave-induced kelp movement and its importance for community structure. Botanica Marina, 22, 169–172.Google Scholar
VERSTAPPEN, H. T. 1977. Remote sensing in geomorphology. Elsevier Scientific.Google Scholar
VILES, H. A. 1988. Biogeomorphology. Basil Blackwell.Google Scholar
VILES, H. A. & SPENCER, T. 2014. Coastal problems: geomorphology, ecology and society at the coast. Routledge.Google Scholar
VILLA, F., TUNESI, L. & AGARDY, T. 2002. Zoning marine protected areas through spatial multiple-criteria analysis: the case of the Asinara Island National Marine Reserve of Italy. Conservation Biology, 16, 515–526.Google Scholar
VINCENT, R. K. 1997. Fundamentals of geological and environmental remote sensing. Prentice-Hall.Google Scholar
VON BERTALANFFY, L. 1956. General system theory. General Systems, 1, 11–17.Google Scholar
WADELL, H. 1932. Volume, shape, and roundness of rock particles. Journal of Geology, 40, 443–451.Google Scholar
WAGNER, H. H. & FORTIN, M.-J. 2005. Spatial analysis of landscapes: concepts and statistics. Ecology, 86, 1975–1987.Google Scholar
WARD, T., VANDERKLIFT, M., NICHOLLS, A. & KENCHINGTON, R. 1999. Selecting marine reserves using habitats and species assemblages as surrogates for biological diversity. Ecological Applications, 9, 691–698.Google Scholar
WEBB, A. P. & KENCH, P. S. 2010. The dynamic response of reef islands to sea-level rise: evidence from multi-decadal analysis of island change in the Central Pacific. Global and Planetary Change, 72, 234–246.Google Scholar
WERNER, A. 1967. A calendar of the development of surveying. Australian Surveyor, 21, 265–289.Google Scholar
WETTLE, M., FERRIER, G., LAWRENCE, A. & ANDERSON, K. 2003. Fourth derivative analysis of Red Sea coral reflectance spectra. International Journal of Remote Sensing, 24, 3867–3872.Google Scholar
WILBER, P. & IOCCO, L. E. 2003. Using a GIS to examine changes in the bathymetry of borrow pits and in lower bay, New York Harbor, USA. Marine Geodesy, 26, 49–61.Google Scholar
WILLIAMS, S. J., PENLAND, S. & SALLENGER, A. H. 1992. Atlas of shoreline changes in Louisiana from 1853 to 1989. US Geological Survey.Google Scholar
WILLIAMS, W. & LANCE, G. 1977. Hierarchical classificatory methods. Statistical Methods for Digital Computers, 3, 269–295.Google Scholar
WILLIS, C. M. & GRIGGS, G. B. 2003. Reductions in fluvial sediment discharge by coastal dams in California and implications for beach sustainability. Journal of Geology, 111, 167–182.Google Scholar
WIRSING, A. J., HEITHAUS, M. R. & DILL, L. M. 2007. Can measures of prey availability improve our ability to predict the abundance of large marine predators? Oecologia, 153, 563–568.Google Scholar
WOLFRAM, S. 1994. Cellular automata and complexity: collected papers. Addison-Wesley.Google Scholar
WOOD, D. & FELS, J. 1992. The power of maps. Guilford Press.Google Scholar
WOODROFFE, C. D. 2002. Coasts: form, process and evolution. Cambridge University Press.Google Scholar
WOODY, C., SHIH, E., MILLER, J., ROYER, T., ATKINSON, L. P. & MOODY, R. S. 2000. Measurements of salinity in the coastal ocean: a review of requirements and technologies. Marine Technology Society Journal, 34, 26–33.Google Scholar
WRIGHT, D. J. 2009. Spatial data infrastructures for coastal environments. In Remote sensing and geospatial technologies for coastal ecosystem assessment and management, Ed X. Yang, pp. 91–112. Springer.Google Scholar
WRIGHT, D. J. & BARTLETT, D. J. 2000. Marine and coastal geographical information systems. CRC Press.Google Scholar
WRIGHT, D. J., SATALOFF, G., LAVOI, T., MEINER, A. & UHEL, R. 2010. Overview of coastal atlases. In Coastal informatics: web atlas design and implementation, Ed D. J. Wright, p. 80. Information Science Reference.Google Scholar
WRIGHT, L. D. & THOM, B. G. 1977. Coastal depositional landforms: a morphodynamic approach. Progress in Physical Geography, 1, 412–459.Google Scholar
WRIGHT, L. D., SHORT, A. & GREEN, M. 1985. Short-term changes in the morphodynamic states of beaches and surf zones: an empirical predictive model. Marine Geology, 62, 339–364.Google Scholar
YAMANO, H. & TAMURA, M. 2004. Detection limits of coral reef bleaching by satellite remote sensing: simulation and data analysis. Remote Sensing of Environment, 90, 86–103.Google Scholar
YAMANO, H., KAYANNE, H. & CHIKAMORI, M. 2005. An overview of the nature and dynamics of reef islands. Global Environmental Research – English Edition, 9, 9.Google Scholar
YAMANO, H., SHIMAZAKI, H., MURASE, T., ITOU, K., SANO, S., SUZUKI, Y., LEENDERS, N., FORSTREUTER, W. & KAYANNE, H. 2006. Construction of digital elevation models for atoll islands using digital photogrammetry. In GIS for the Coastal Zone: a Selection of Papers from CoastGIS, pp. 165–175. University of Wollongong.Google Scholar
YAMANO, H., KAYANNE, H., YAMAGUCHI, T., KUWAHARA, Y., YOKOKI, H., SHIMAZAKI, H. & CHIKAMORI, M. 2007. Atoll island vulnerability to flooding and inundation revealed by historical reconstruction: Fongafale Islet, Funafuti Atoll, Tuvalu. Global and Planetary Change, 57, 407–416.Google Scholar
YONGE, C. M. 1929. Great Barrier Reef expedition, 1928–1929. British Museum.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

  • References
  • Sarah M. Hamylton, University of Wollongong, New South Wales
  • Book: Spatial Analysis of Coastal Environments
  • Online publication: 04 May 2017
  • Chapter DOI: https://doi.org/10.1017/9781107707412.013
Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • References
  • Sarah M. Hamylton, University of Wollongong, New South Wales
  • Book: Spatial Analysis of Coastal Environments
  • Online publication: 04 May 2017
  • Chapter DOI: https://doi.org/10.1017/9781107707412.013
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • References
  • Sarah M. Hamylton, University of Wollongong, New South Wales
  • Book: Spatial Analysis of Coastal Environments
  • Online publication: 04 May 2017
  • Chapter DOI: https://doi.org/10.1017/9781107707412.013
Available formats
×