In the summer of 2022, Tulane University, in collaboration with archaeologists from other institutions, began excavations at the site of Pompeii. The archaeological work was focused on Insula 14 of Region 1, located in the southeastern sector of the site. To overcome the challenges of recording a complex urban excavation, and of working with a collaborative team, we designed and implemented a unique workflow that combines paperless and 3D data-capture methods through the use of GIS technologies. The final product of our documentation workflow was a robust and easy-to-use online geodatabase where archaeologists can revisit, explore, visualize, and analyze each excavated context using virtual tools. We present our workflow for digitally documenting observational and spatial data in the field, and how we made these data available to project archaeologists during and after the field season. First, we describe the development of digital forms in ESRI's Survey123. Then, we explain our procedures for 3D documentation through SfM photogrammetric methods and discuss how we integrated the data and transformed it into an accessible format by using interactive dashboards and online 3D web scenes. Finally, we discuss the components of our workflow that are broadly applicable and that can easily be adapted to other projects.

This report presents new documentation of the external canal in the Late Postclassic site of Tetzcotzinco in the municipality of Texcoco, Mexico. This structure was previously considered a waterwork separate from the monumental water-management system discovered in the central part of the site. However, reanalysis of the course of this canal allowed us to reassess its function and revise the existing Tetzcotzinco maps. We propose that this structure formed part of the main water-management system of the site.

This article reports the material evidence of roads in the northwestern Maya Lowlands that were in use from the Middle Preclassic (800–300 BC) through the Late Classic (AD 700–900) period in Chiapas and Tabasco, Mexico. The study includes archaeological evidence recovered from field research in an area covering approximately 670 km2 and 618 recorded archaeological sites. It presents the physical characteristics of a series of piedmont paths that connected the region from the Usumacinta River to the Tulijá River, including large population centers such as Palenque and Chinikihá. The study uses a geographic information system (GIS) least cost path (LCP) analysis to identify the location of roads and how they relate to regional settlement patterns. It also tests the use of modern computational models to advance regional studies in the Maya area. Study results show how the Classic Maya adapted and appropriated the region's topography to facilitate movement, long-term settlement, and the building of landesque capital.

Thanks to many epigraphic references compiled in the last 35 years, there is a growing consensus among Mayanists that a hegemonic state existed in the Maya Lowlands during the Classic period headed by the Kaanu'l royal dynasty and based at Dzibanche and Calakmul. Many aspects of its organization are still poorly documented, however. Important questions that remain unanswered include how power was exerted and passed on within this political system in ways that might differ from those found in an average-sized Maya kingdom. In this article we present new archaeological and epigraphic data from Chochkitam, a little-known site in northeastern Peten, Guatemala. Although this was a center of average size, the epigraphic texts reveal its political standing as a royal city with important connections with the Kaanu'l and other regional powers at various significant junctures during the Classic period, including before, during, and after the Kaanu'l hegemony. These historical reconstructions, although fragmentary, provide important data to validate emerging hypotheses regarding how the Kaanu'l kings managed their domain.

Coastal shell midden deposits are a quintessential component of the archaeological record on the Pacific Northwest Coast. Despite their importance in informing the cultural and environmental histories of Indigenous peoples, research on shell middens has largely not sought to address the physical extent of these cultural deposits, which requires estimating shape, depth, and volume. Here, we present a new scalable geospatial model, designed to work with legacy survey data, for estimating midden volumes based on applying a regular geometric solid to sites with known extent and depth. We evaluate the accuracy of this technique using percussion core, total station, and lidar data from eight sites in Tseshaht territory on western Vancouver Island and three sites on the north coast of British Columbia (Canada). As part of the evaluation process of our results, we calculate uncertainty using subsurface core depth data and then compare generalized and modeled midden volume estimates. We demonstrate an accurate general model applied at the regional scale across a systematically surveyed landscape. This work presents the first landscape-scale measure of midden extents and volume within our study area, with relevance to historical ecology and settlement patterns.

Most earthen burial mounds of eastern North America have been destroyed—or have they? We review geophysical methods for assessing whether leveled mounds retain intact deposits or features. Magnetic survey holds promise for locating and evaluating leveled mounds because it is rapid and sensitive to magnetic variations associated with anticipated features such as pits and deposits of mound fill. As a case study, we discuss our magnetic survey of the Gast Farm site (13LA12) in eastern Iowa. The survey covered 8.64 ha, encompassing loci of one previously reported mound and possible geometric earthworks as well as Middle and Late Woodland habitation areas. Interpretation of survey results incorporated quantitative differentiation of magnetic anomaly types using GIS techniques, along with standard visual inspection. We found no evidence of geometric earthworks but identified at least six leveled mounds. Displaced mound fill appears to account for the earthwork-like features. We conclude that leveled mounds are detectable and may retain subsurface integrity. Their associated features, including burials, may be identifiable even when above-ground evidence has disappeared.

Archaeologists have a responsibility to use their research to engage people and provide opportunities for the public to interact with cultural heritage and interpret it on their own terms. This can be done through hypermedia and deep mapping as approaches to public archaeology. In twenty-first-century archaeology, scholars can rely on vastly improved technologies to aid them in these efforts toward public engagement, including digital photography, geographic information systems, and three-dimensional models. These technologies, even when collected for analysis or documentation, can be valuable tools for educating and involving the public with archaeological methods and how these methods help archaeologists learn about the past. Ultimately, academic storytelling can benefit from making archaeological results and methods accessible and engaging for stakeholders and the general public. ArcGIS StoryMaps is an effective tool for integrating digital datasets into an accessible framework that is suitable for interactive public engagement. This article describes the benefits of using ArcGIS StoryMaps for hypermedia and deep mapping–based public engagement using the story of copper production in Iron Age Faynan, Jordan, as a case study.

Archaeologists are tasked with balancing a call to open data and the need to maintain confidentiality of sensitive archaeological site locations. Low-resolution mapping and data aggregation are the methods most commonly used to hide site locations; however, we understand little of the effectiveness of these practices. Trends in geomasking, obscuring observed geographic points, to anonymize public health data are suggested as a source of methods for sharing archaeological site data. Archaeologists have available to them a number of geomasking methods that balance open data and site security in different ways. Low-resolution mapping at several scales and random direction with fixed radius, random perturbation donut, and Gaussian donut techniques are tested on a set of archaeological site locations. Random perturbation donuts resulted in the best balance between obscuring archaeological locations and conveying observed spatial patterning. Researchers should carefully consider how they convey archaeological location data, as commonly used low-resolution scales may not provide the desired level of obscurity. Researchers should also be explicit as to how and why their methods of site visualization are chosen.

The (re)occupation of hillforts was a distinctive feature of post-Roman Europe in the fifth to seventh centuries ad. In western and northern Britain, hillforts are interpreted as power centres associated with militarized elites, but research has paid less attention to their landscape context, hence we know little about the factors that influenced their siting and how this facilitated elite power. Geographic Information Systems (GIS) provide opportunities for landscape research, but are constrained by limitations of source data and the difficulty of defining appropriate parameters for analysis. This article presents a new methodology that combines data processing and analytical functions in GIS with techniques and principles drawn from ‘traditional’ landscape archaeology. A case study, focused on Dinas Powys, suggests that the strategic siting of this hillfort facilitated control over the landscape and has wider implications for our understanding of patterns of power in post-Roman Britain.

As archaeologists expand the accessibility of legacy data, they have an opportunity to use these datasets to design future research. We argue that legacy data can be a critical resource to help predict characteristics of sites and socioeconomic systems. In this article, we present a combined geographic information system (GIS) and network analysis methodology that turns site location data into testable hypotheses about site characteristics and the organization of regional settlement systems. We demonstrate the utility of this approach with a case study: Bronze Age (2700–1100 BC) settlement patterns in the mining region of Hunedoara in southwest Transylvania, Romania. We leverage unsystematically collected site location information in legacy datasets to develop testable predictions about sites, regional networks, and socioeconomic systems that can be evaluated through future systematic surveys and large-scale excavations. Such testable hypotheses can inform archaeological research design by providing a quantitative basis for determining where to focus research efforts and can also help secure funding and fieldwork permits. The method developed here can be applied in diverse archaeological contexts to reinvigorate legacy data as part of future archaeological research design.

The purpose of this article is to discuss the challenges and opportunities for integrating archaeological information in landscape-scale conservation design while aligning archaeological practice with design and planning focused on cultural resources. Targeting this opportunity begins with statewide archaeological databases. Here, we compare the structure and content of Pennsylvania's and Florida's statewide archaeological databases, identifying opportunities for leveraging these data in landscape conservation design and planning. The research discussed here was part of a broader project, which was working through the lens of Landscape Conservation Cooperatives in order to develop processes for integrating broadly conceived cultural resources with natural resources as part of multistate or regional landscape conservation design efforts. Landscape Conservation Cooperatives offer new ways to think about archaeological information in practice and potentially new ways for archaeology to contribute to design and planning. Statewide archaeological databases, in particular, offer transformative potential for integrating cultural resource priorities in landscape conservation design. Targeted coordination across state boundaries along with the development of accessible derivative databases are two priorities to advance their utility.

We conducted unmanned aerial vehicle lidar missions in the Maya Lowlands between June 2017 and June 2018 to develop appropriate methods, procedures, and standards for drone lidar surveys of ancient Maya settlements and landscapes. Three site locations were tested within upper Usumacinta River region using Phoenix Lidar Systems: Piedras Negras, Guatemala, was tested in 2017, and Budsilha and El Infiernito, both in Mexico, were tested in 2018. These sites represent a range of natural and cultural contexts, which make them ideal to evaluate the usefulness of the technology in the field. Results from standard digital elevation and surface models demonstrate the utility of deploying drone lidar in the Maya Lowlands and throughout Latin America. Drone survey can be used to target and efficiently document ancient landscapes and settlement. Such an approach is adaptive to fieldwork and is cost effective but still requires planning and thoughtful evaluation of samples. Future studies will test and evaluate the methods and techniques for filtering and processing these data.

This paper proposes a methodology for quantifying the territorial impact on population distribution of the railway. The central hypothesis is that access to railway services provides the best-connected areas with a long-term comparative advantage over others that are less accessible. Carrying out a historical analysis and providing comparable data at the municipal level allows us to determine the extent to which the railway has fostered the concentration of population within its immediate surroundings. The case study presented here is that of Spain between 1900 and 2001, but the same methodology could equally be applied to any other country for which the required data are available. In this case, key data included a Geographic Information System with information about both the development of the railway network and census data relating to total population at the municipal level. The results obtained suggest the relevance of this methodology, which makes it possible to identify the periods and areas in which this influence was most significant.