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Peatlands, covering approximately one-third of global wetlands, provide various ecological functions but are highly vulnerable to climate change, with their changes in space and time requiring monitoring. The sub-Antarctic Prince Edward Islands (PEIs) are a key conservation area for South Africa, as well as for the preservation of terrestrial ecosystems in the region. Peatlands (mires) found here are threatened by climate change, yet their distribution factors are poorly understood. This study attempted to predict mire distribution on the PEIs using species distribution models (SDMs) employing multiple regression-based and machine-learning models. The random forest model performed best. Key influencing factors were the Normalized Difference Water Index and slope, with low annual mean temperature, with low annual mean temperature, precipitation seasonality and distance from the coast being less influential. Despite moderate predictive ability, the model could only identify general areas of mires, not specific ones. Therefore, this study showed limited support for the use of SDMs in predicting mire distributions on the sub-Antarctic PEIs. It is recommended to refine the criteria used to select environmental factors and enhance the geospatial resolution of the data to improve the predictive accuracy of the models.
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.
Humans inhabit rich social and physical worlds and archaeology is increasingly engaging with the multi-sensory experience of life in the past. In this article, the authors model the soundscapes of five Chacoan communities on the Colorado Plateau, where habitation sites cluster around monumental great houses. The work demonstrates that the audible range of a conch-shell trumpet blown from atop these great houses consistently maps the distribution of associated habitation sites. Staying within the audible reach of great houses may have helped maintain the social cohesion of communities in the past which, the authors argue, also has implications for the management of archaeological landscapes in the modern world.
Though infrequently used and largely superfluous, amphitheaters were often the most physically imposing and ideologically charged structures in a Roman city. The preponderance of extramural amphitheaters in Italy and their appearance in visual culture confirm they were potent markers of urban life and civic status. This paper contextualizes Tibur's imperial amphitheater within the Roman suburbium's persistent urban sprawl and villas, especially Hadrian's Villa, using a novel GIS visibility analysis. Its apparent size from various points in the surrounding landscape is quantified within empirical and qualitative scales developed for modern visual impact assessments. The results demonstrate the amphitheater's suburban location did more than integrate Tibur's extramural growth into the older urban center. It emphasized the city's urban appearance, even from long distances, and monumentalized alternate routes to the city used by the villa-owning elite, countering the ambiguous status of a liminal city that was both Rome's annex and an autonomous municipium.
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 chapter explores the interpretive possibilities raised by computational visualizations of digitized literature and literary data. Taking Franco Moretti’s Maps, Graphs and Trees (2007) as a starting point, it considers what new insights these techniques of visualization, seldom employed in the humanities, can convey. Carter speaks with leading practitioners in the field to unpack the ways in which new techniques in digital data visualization are allowing scholars “to perform conventional work in new ways.” Applying these techniques to literary data for which they are not designed, however, also reveals a productive push and pull: as one of Carter’s interview subjects, Alex Christie, puts is, “We’re reading the literature on the technology, but we’re also seeing where the literature we’re trying to model pushes against the edges of the technical frameworks we have in hand.”
Cet article est une étude expérimentale menée sur le site archéologique de Gasr Chouline à Tataouine en utilisant la prospection archéologique et les systèmes d'informations géographiques (SIG) pour améliorer la gestion du site. Bien que cette étude n'ait pas prétendu à l'exhaustivité, elle a fourni de nouvelles données archéologiques par suite d'une prospection systématique.
A long-term project to map and catalog all precontact Native American burial mounds in Iowa provides information about the number, location, form, survivorship, and rate of loss of mounds. This analysis reveals previously undocumented mound manifestations, including a large cluster of 200 linear mounds along the central Des Moines River valley. Historical records reveal that at least 7,762 mounds were identified at 1,551 sites in Iowa between 1840 and the present. About 47% of the mounds from these sites can be possibly seen in lidar, with 33% of the total clearly seen in lidar. Data show that mound loss over time is linear. Extrapolation of data suggests that at least 15,000–17,000 mounds stood in Iowa in the nineteenth century, but the actual number was likely higher.
We present a photogrammetric model and new line drawing of Sacul Stela 3 at the ancient Maya site of Sacul 1, Guatemala. Although virtually illegible in person and from photographs, the inscription on the eroded stela can largely be read or reconstructed in the 3D model. Our reading confirms a previous argument that the kingdom based at Sacul 1 was attacked in A.D. 779 by forces from the site of Ucanal. Traveling by night, warriors from Sacul retaliated with a raid at dawn next day on an unidentified site and, months later, followed up with an attack on Ucanal itself. The same narrative appears substantially on a well-known monument, Ixkun Stela 2, but there are differences between the two texts which suggest that Sacul and Ixkun had their own sculptors and record-keepers and which offer insights into the implications of verbs (pul, “to burn” and ch'ak, “to chop”) commonly attested in Classic Maya accounts of war. We then present the results of GIS analysis which suggests that the site area of El Rosario (between Sacul 1 and Ucanal) is an appealing candidate for the unidentified site mentioned in the stela text.
Limitations of traditional geospatial measures, like the modified Retail Food Environment Index (mRFEI), are well documented. In response, we aimed to: (1) extend existing food environment measures by inductively developing subcategories to increase the granularity of healthy v. less healthy food retailers; (2) establish replicable coding processes and procedures; and (3) demonstrate how a food retailer codebook and database can be used in healthy public policy advocacy.
Design:
We expanded the mRFEI measure such that ‘healthy’ food retailers included grocery stores, supermarkets, hypermarkets, wholesalers, bulk food stores, produce outlets, butchers, delis, fish and seafood shops, juice/smoothie bars, and fresh and healthy quick-service retailers; and ‘less healthy’ food retailers included fast-food restaurants, convenience stores, coffee shops, dollar stores, pharmacies, bubble tea restaurants, candy stores, frozen dessert restaurants, bakeries, and food trucks. Based on 2021 government food premise licences, we used geographic information systems software to evaluate spatial accessibility of healthy and less healthy food retailers across census tracts and in proximity to schools, calculating differences between the traditional v. expanded mRFEI.
Setting:
Calgary and Edmonton, Canada.
Participants:
N/A.
Results:
Of the 10 828 food retailers geocoded, 26 % were included using traditional mRFEI measures, while 53 % were included using our expanded categorisation. Changes in mean mRFEI across census tracts were minimal, but the healthfulness of food environments surrounding schools significantly decreased.
Conclusions:
Overall, we show how our mRFEI adaptation, and transparent reporting on its use, can promote more nuanced and comprehensive food environment assessments to better support local research, policy and practice innovations.
Theoretical units of interest often do not align with the spatial units at which data are available. This problem is pervasive in political science, particularly in subnational empirical research that requires integrating data across incompatible geographic units (e.g., administrative areas, electoral constituencies, and grid cells). Overcoming this challenge requires researchers not only to align the scale of empirical and theoretical units, but also to understand the consequences of this change of support for measurement error and statistical inference. We show how the accuracy of transformed values and the estimation of regression coefficients depend on the degree of nesting (i.e., whether units fall completely and neatly inside each other) and on the relative scale of source and destination units (i.e., aggregation, disaggregation, and hybrid). We introduce simple, nonparametric measures of relative nesting and scale, as ex ante indicators of spatial transformation complexity and error susceptibility. Using election data and Monte Carlo simulations, we show that these measures are strongly predictive of transformation quality across multiple change-of-support methods. We propose several validation procedures and provide open-source software to make transformation options more accessible, customizable, and intuitive.
In their opposition to American imperialism, radicals pursued many actions. They synchronized protests, helped deserting GIs find safety, strengthened ties with Vietnamese revolutionaries, put the United States on trial for genocide, and even organized international brigades to fight in Vietnam. But at this stage, they prioritized the ideological struggle, which was precisely what Vietnamese officials themselves sought most from their comrades in this part of the world. Indeed, Vietnamese revolutionaries believed that the war would be fought not only in the jungles of Vietnam but on the terrain of ideas. Collaborating closely with Vietnamese communists, radicals in the North Atlantic radicalized the discourse around the war. In fact, by the end of 1967, the general antiwar struggle grew far more radical. Radicals defined the enemy as imperialism, coded their internationalism as anti-imperialism, and revived the Leninist problematic of self-determination. This approach to internationalism became so popular that even those who did not consider themselves radicals adopted some of its core elements. By the late 1960s, anti-imperialism was beating out its many internationalist rivals – such as individualist human rights – to become the dominant way in which activists in the North Atlantic imagined international change.
Geospatial research in archaeology often relies on datasets previously collected by other archaeologists or third-party groups, such as state or federal government entities. This article discusses our work with geospatial datasets for identifying, documenting, and evaluating prehistoric and historic water features in the western United States. As part of a project on water heritage and long-term views on water management, our research has involved aggregating spatial data from an array of open access and semi-open access sources. Here, we consider the challenges of working with such datasets, including outdated or disorganized information, and fragmentary data. Based on our experiences, we recommend best practices: (1) locating relevant data and creating a data organization method for working with spatial data, (2) addressing data integrity, (3) integrating datasets in systematic ways across research cohorts, and (4) improving data accessibility.
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.
In the last decade, archaeologists have been using human-occupied interactive digital built environments to investigate human agency, settlement, and behavior. To document this evidence, we provide here one method of conducting drone-based photogrammetry and GIS mapping from within these digital spaces based on well-established methods conducted in physical landscapes. Mapping is an integral part of archaeology in the natural world, but it has largely eluded researchers in these new, populated digital landscapes. We hope that our proposed method helps to resolve this issue. We argue that employing archaeological methods in digital environments provides a successful methodological framework to investigate human agency in digital spaces for anthropological purposes and has the potential for extrapolating data from human-digital landscape interactions and applying them to their natural analogues.
To assess the clustering properties of residential urban food environment indicators across neighbourhoods and to determine if clustering profiles are associated with diet outcomes among adults in Brooklyn, New York.
Design:
Cross-sectional.
Setting:
Five neighbourhoods in Brooklyn, New York.
Participants:
Survey data (n 1493) were collected among adults in Brooklyn, New York between April 2019 and September 2019. Data for food environment indicators (fast-food restaurants, bodegas, supermarkets, farmer’s markets, community kitchens, Supplemental Nutrition Assistance Program application centres, food pantries) were drawn from New York databases. Latent profile analysis (LPA) was used to identify individuals’ food access-related profiles, based on food environments measured by the availability of each outlet within each participant’s 800-m buffer. Profile memberships were associated with dietary outcomes using mixed linear regression.
Results:
LPA identified four residential urban food environment profiles (with significant high clusters ranging from 17 to 57 across profiles): limited/low food access, (n 587), bodega-dense (n 140), food swamp (n 254) and high food access (n 512) profiles. Diet outcomes were not statistically different across identified profiles. Only participants in the limited/low food access profile were more likely to consume sugar-sweetened beverages (SSB) than those in the bodega-dense profile (b = 0·44, P < 0·05) in adjusted models.
Conclusions:
Individuals in limited and low food access neighbourhoods are vulnerable to consuming significant amounts of SSB compared with those in bodega-dense communities. Further research is warranted to elucidate strategies to improve fruit and vegetable consumption while reducing SSB intake within residential urban food environments.
One of the most exciting types of social media data is geolocated data, which includes the source location of the post, based on the GPS capabilities of the posting device. Chapter 4 discusses the particular advantages offered by this data, including the capacity to perform extremely fine-grained subnational studies impossible with traditional sources of data. In addition, the chapter provides software for processing geocoded social media data in order to efficiently identify the country and subnational unit of every tweet in a collection, including an example application collecting all geocoded tweets in the world.
The objective of the present study was to assess the association between the observed and perceived food environment and food insecurity among households with children <18 years in Lima, Peru. This was a cross-sectional study including an income-stratified random sample of households (n 329) in Villa el Salvador, a low-income district in Lima, Peru. Data were collected with a household questionnaire – including the Household Food Insecurity Access Scale (HFIAS) and the University of Pennsylvania's Perceived Nutrition Environment Survey (NEMS-P) – and a neighbourhood food outlet census, including recording of food outlets’ GPS coordinates. Three-quarters of the households interviewed were food insecure. Compared with food secure households and adjusting for socio-demographic covariates, food insecure households were more likely to disagree to having easy access (OR 5⋅4; 95 % CI 2⋅1, 13⋅4), high quality (OR 3⋅1; 95 % CI 1⋅7, 5⋅5) and variety (OR 2⋅5; 95 % CI 1⋅4, 4⋅6) of fresh fruits and vegetables in their neighbourhood. About 60 % (513 out of 861) of the food outlets identified in participants’ neighbourhoods were classified as fresh, including markets, bodegas, and fruit and vegetable vendors. There was no difference in distance to fresh food outlets by household food insecurity; all households were on average within 52–62 m from a fresh food outlet (~2-min walk). Despite negative perceptions of their neighbourhood food environment, food insecure households had similar physical access to fresh food sources than their food secure counterparts. Thus, changes to the food environment may not alleviate food insecurity in urban poor areas of Peru.
Cities did not somehow emerge fully formed; they developed gradually – usually in oscillating, uneven lurches of development over time. Exacerbated by climate change, extreme weather events and sea levels are rising rapidly. This poses a significant, immediate threat to coastal or riverine cities and the priceless historic resources that make them unique. As protecting cultural heritage becomes a global priority, identifying effective strategies that governments can use to identify, manage, and protect historic resources is critical. This chapter is divided into two sections. The first part discusses some of the public health benefits that historic resources bring to urban areas and how cultural heritage increases urban resilience. The second section analyzes two important technological strategies that governments at all levels should have (or develop) to fulfill their legal obligations to protect cultural heritage by engaging the public more broadly in preservation initiatives.
This book explores the deep roots of modern democracy, focusing on geography and long-term patterns of global diffusion. Its geographic argument centers on access to the sea, afforded by natural harbors which enhance the mobility of people, goods, capital, and ideas. The extraordinary connectivity of harbor regions thereby affected economic development, the structure of the military, statebuilding, and openness to the world – and, through these pathways, the development of representative democracy. The authors' second argument focuses on the global diffusion of representative democracy. Beginning around 1500, Europeans started to populate distant places abroad. Where Europeans were numerous they established some form of representative democracy, often with restrictions limiting suffrage to those of European heritage. Where they were in the minority, Europeans were more reticent about popular rule and often actively resisted democratization. Where Europeans were entirely absent, the concept of representative democracy was unfamiliar and its practice undeveloped.