Geography Commons^™

Reference Database Of Teeth Images From The Family Bovidae, Juliet K. Brophy, Gregory J. Matthews

Faculty Publications

Researchers typically rely on fossils from the Family Bovidae to generate African paleoenvironmental reconstructions due to their strict ecological tendencies. Bovids have dominated the southern African fauna for the past four million years and, therefore, dominate the fossil faunal assemblages, especially isolated teeth. Traditionally, researchers reference modern and fossil comparative collections to identify teeth. However, researchers are limited by the specific type and number of bovids at each institution. B.O.V.I.D. (Bovidae Occlusal Visual IDentification) is a repository of images of the occlusal surface of bovid teeth. The dataset currently includes extant bovids from 7 tribes and 20 species (~3900). B.O.V.I.D. …

The Uneven Reaction To Combat The Covid-19 Pandemic: Geovisualizing Of Fever Clinics In Mainland China, Guoqi Li, Zhuoshi Lv, Fahui Wang, Gang Chen, Wenjie Sun, Yuting Shi, Sijing Liu

Faculty Publications

The COVID-19 pandemic has exerted unprecedented impacts on the world. Since its onset, China has established a network of fever clinics as an effective strategy to aggressively isolate and screen possible patients with COVID-19 symptoms. This study presents two fever clinic maps that visualize the uneven responses to the COVID-19 pandemic at the city level in mainland China. The maps highlight more resources in the southwest, northwest, east, and south China, and paucity in the far west parts of southwest and northwest China and in the north and northeast China.

Multiscale Analysis Of Cancer Service Areas In The United States, Changzhen Wang, Tracy Onega, Fahui Wang

Faculty Publications

The purpose of delineating Cancer Service Areas (CSAs) is to define a reliable unit of analysis, more meaningful than geopolitical units such as states and counties, for examining geographic variations of the cancer care markets using geographic information systems (GIS). This study aims to provide a multiscale analysis of the U.S. cancer care markets based on the 2014–2015 Medicare claims of cancer-directed surgery, chemotherapy, and radiation. The CSAs are delineated by a scale-flexible network community detection algorithm automated in GIS so that the patient flows are maximized within CSAs and minimized between them. The multiscale CSAs include those comparable in …

Monitoring Asbestos Mine Remediation Using Airborne Hyperspectral Imaging System: A Case Study Of Jefferson Lake Mine, Us, Yongsik Jeong, Jaehyung Yu, Lei Wang, Huy Hoa Huynh, Hyun Cheol Kim

Faculty Publications

This study investigated an asbestos mine restoration project using Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) hyperspectral data. The distribution of an abandoned asbestos mine (AAM) and treatment area were analyzed before and after the remediation based on the spectral indices for detecting naturally occurring asbestos (NOA) indicators and encapsulation. The spectral indices were developed for NOA, host rock, and encapsulation by logistic regression models using spectral bands extracted from the random forest algorithm. The detection models mostly used VNIR spectra rather than SWIR and were statistically significant. The overall accuracy of the detection models was approximately 84%. Notably, the detection accuracy …

Household Salt Production By The Late Classic Maya: Underwater Excavations At Ta'ab Nuk Na, Heather Mckillop, E. Cory Sills

Faculty Publications

Salt is an essential commodity; archaeological remains around the world attest to the importance of its production, exchange and consumption. Often located in coastal locations, many production sites were submerged by rising seas, including the Paynes Creek Salt Works on the southern Belize coast. Survey and excavation of these sites has identified 'kitchens' for brine boiling, as well as Terminal Classic residential structures at Ek Way Nal. The authors report the discovery of an earlier residential building alongside salt kitchens at the nearby site of Ta'ab Nuk Na. This finding indicates that surplus household production began during the Late Classic, …

Effect Of Lateral Outflow On Three-Dimensional Flow Structure In A River Delta, M. Kifayath Chowdhury, Kory M. Konsoer, Matthew Hiatt

Faculty Publications

Spatial and temporal patterns in three-dimensional flow structure are linked to channel processes and morphology in many environments. However, there is not yet an understanding of how the flow structure is influenced by channelized and gradually distributed lateral outflows that are often prevalent in river deltas. This study presents an analysis of three-dimensional flow structure data collected from Wax Lake Delta, a naturally developing river-dominated delta in the northern Gulf of Mexico. Three hydrographic surveys were conducted using a boat-mounted acoustic Doppler current profiler at two sites: a channelized outflow zone and a distributary channel experiencing unchannelized lateral outflow. The …

Rates Of Future Climate Change In The Gulf Of Mexico And The Caribbean Sea: Implications For Coral Reef Ecosystems, A. E. Lawman, S. G. Dee, K. L. Delong, A. M.S. Correa

Faculty Publications

Rising temperatures and ocean acidification due to anthropogenic climate change pose ominous threats to coral reef ecosystems in the Gulf of Mexico (GoM) and the western Caribbean Sea. Unfortunately, the once structurally complex coral reefs in the GoM and Caribbean have dramatically declined since the 1970s; relatively few coral reefs still exhibit a mean live coral cover of >10%. Additional work is needed to characterize future climate stressors on coral reefs in the GoM and the Caribbean Sea. Here, we use climate model simulations spanning the period of 2015–2100 to partition and assess the individual impacts of climate stressors on …

Rural-Urban Differences In Breast Cancer Surgical Delays In Medicare Beneficiaries, Ronnie J. Zipkin, Andrew Schaefer, Changzhen Wang, Andrew P. Loehrer, Nirav S. Kapadia, Gabriel A. Brooks, Tracy Onega, Fahui Wang, Alistair J. O’Malley, Erika L. Moen

Faculty Publications

Background: Delays between breast cancer diagnosis and surgery are associated with worsened survival. Delays are more common in urban-residing patients, although factors specific to surgical delays among rural and urban patients are not well understood. Methods: We used a 100% sample of fee-for-service Medicare claims during 2007–2014 to identify 238,491 women diagnosed with early-stage breast cancer undergoing initial surgery and assessed whether they experienced biopsy-to-surgery intervals > 90 days. We employed multilevel regression to identify associations between delays and patient, regional, and surgeon characteristics, both in combined analyses and stratified by rurality of patient residence. Results: Delays were more prevalent among …

The Role Of A Green Bank In South Carolina: A Market & Feasibility Assessment, Jory Fleming, Claire Windsor

Faculty Publications

A market and feasibility report that explores the role of a green bank in South Carolina. This report is the culmination of a multi-year process that included a comprehensive market assessment and interviews with over 60 organizations across South Carolina. It demonstrates that a green bank could play a vital role in South Carolina by creating a dedicated institution working to accelerate the flow of capital to projects that seek to reduce carbon pollution and increase resilience to climate impacts.

Impacts Of Ocean-Atmosphere Teleconnection Patterns On The South-Central United States, Robert V. Rohli, Gregg A. Snedden, Elinor R. Martin, Kristine L. Delong

Faculty Publications

Recent research has linked the climate variability associated with ocean-atmosphere teleconnections to impacts rippling throughout environmental, economic, and social systems. This research reviews recent literature through 2021 in which we identify linkages among the major modes of climate variability, in the form of ocean-atmosphere teleconnections, and the impacts to temperature and precipitation of the South-Central United States (SCUSA), consisting of Arkansas, Louisiana, New Mexico, Oklahoma, and Texas. The SCUSA is an important areal focus for this analysis because it straddles the ecotone between humid and arid climates in the United States and has a growing population, diverse ecosystems, robust agricultural …

Using Multidisciplinary Analysis To Develop Adaptation Options Against Extreme Coastal Floods, Xinmeng Shan, Jun Wang, Jiahong Wen, Hengzhi Hu, Lei Wang, Jie Yin, Mengya Li

Faculty Publications

Long-term flood risk adaptation and decision making are complex because the future is full of deep uncertainties. Flexibility and robustness can be used to deal with future uncertainty. This study developed an integrated modeling framework that extends previous studies to the spatial domain to assess the future flood risks and the cost and benefit of three adaptation measures for four types of buildings in Shanghai. Real options analysis (ROA) and dynamic adaptive policy pathways (DAPP) were integrated to develop a dynamic adaptation pathway and identify robust adaptation options. The results show that: (1) Sea level rise and land subsidence will …

Mission Planning For Low Altitude Aerial Drones During Water Sampling, Michael E. Hodgson, Nikolaos I. Vitzilaios, Michael L. Myrick, Tammi L. Richardson, Matt Duggan, Kazi Ragib I. Sanim, Michail Kalaitzakis, Bhanuprakash Kosaraju, Caitlyn English, Zechariah Kitzhaber

Faculty Publications

Mission planning for small uncrewed aerial systems (sUAS) as a platform for remote sensors goes beyond the traditional issues of selecting a sensor, flying altitude/speed, spatial resolution, and the date/time of operation. Unlike purchasing or contracting imagery collections from traditional satellite or manned airborne systems, the sUAS operator must carefully select launching, landing, and flight paths that meet both the needs of the remote sensing collection and the regulatory requirements of federal, state, and local regulations. Mission planning for aerial drones must consider temporal and geographic changes in the environment, such as local weather conditions or changing tidal height. One …

Planetary-Scale Change To The Biosphere Signalled By Global Species Translocations Can Be Used To Identify The Anthropocene, Mark Williams, Reinhold Leinfelder, Anthony D. Barnosky, Martin J. Head, Francine M.G. Mccarthy, Alejandro Cearreta, Stephen Himson, Rachael Holmes, Colin N. Waters, Jan Zalasiewicz, Simon Turner, Mary Mcgann, Elizabeth A. Hadly, M. Allison Stegner, Paul Michael Pilkington, Jérôme Kaiser, Juan Carlos Berrio, Ian P. Wilkinson, Jens Zinke, Kristine L. Delong

Faculty Publications

We examine three distinctive biostratigraphic signatures of humans associated with hunting and gathering, landscape domestication and globalization. All three signatures have significant fossil records of regional importance that can be correlated inter-regionally and help describe the developing pattern of human expansion and appropriation of resources. While none have individual first or last appearances that provide a globally isochronous marker, all three signatures overlap stratigraphically, in that they are part of a continuum of change, with complex regional patterns. Here we show that during the later stages of globalization, late nineteenth to twentieth century records of species translocations can be used …

Southwest Pacific Tropical Cyclone Development Classification Utilizing Machine Learning And Synoptic Composites, Rupsa Bhowmick, Jill C. Trepanier, Alex M. Haberlie

Faculty Publications

This study evaluates the ability of machine learning algorithms to classify tropical depressions (TDs) and tropical storms (TSs) in the western region of the southwest Pacific Ocean (SWPO). Decision rules are generated to predict the environment required for a depression to fully develop into a mature storm, and the most influential predictors in the classification decision are ranked. TD and TS are discriminated based on a maximum sustained wind speed threshold (≥17 ms−1). Various aerosol, thermodynamic, and dynamic parameters are extracted closest to the initiation point of each non-developing and developing sample. The covariates associated with each labelled sample are …

Prisoners Of Scale: Downscaling Community Resilience Measurements For Enhanced Use, Sahar Derakshan, Leah Blackwood, Margot Habets, Julia F. Effgen, Susan L. Cutter

Faculty Publications

As improved data availability and disaster resilience knowledge help progress community resilience quantification schemes, spatial refinements of the associated empirical methods become increasingly crucial. Most existing empirically based indicators in the U.S. use county-level data, while qualitatively based schemes are more locally focused. The process of replicating resilience indices at a sub-county level includes a comprehensive study of existing databases, an evaluation of their conceptual relevance in the framework of resilience capitals, and finally, an analysis of the statistical significance and internal consistency of the developed metrics. Using the U.S. Gulf Coast region as a test case, this paper demonstrates …

An Assessment Of The Extremes And Impacts Of The February 2021 South-Central U.S. Arctic Outbreak, And How Climate Services Can Help, Rebecca A. Bolinger, Vincent M. Brown, Christopher M. Fuhrmann, Karin L. Gleason, T. Andrew Joyner, Barry D. Keim, Amanda Lewis, John W. Nielsen-Gammon, Crystal J. Stiles, William Tollefson, Hannah E. Attard, Alicia M. Bentley

Faculty Publications

In February 2021, a widespread cold-air outbreak, with two associated winter storm systems, impacted the South-Central United States. After a comprehensive summary of the synoptic setup and a day-by-day analysis of the event, we assess the significance of the storm from a climatological perspective. Concerning winter precipitation, there were isolated instances of record snowfall accumulations. While freezing rain and freezing drizzle both occurred, total freezing precipitation accumulations did not exceed a one-in-50 year event. The duration of the cold was notable — many stations across the region broke records for the highest number of consecutive days below freezing. When analyzing …

Delineation Of Cancer Service Areas Anchored By Major Cancer Centers In The United States, Changzhen Wang, Fahui Wang, Tracy Onega

Faculty Publications

Defining a reliable geographic unit pertaining to cancer care is essential in its assessment, planning, and management. This study aims to delineate and characterize the cancer service areas (CSA) accounting for the presence of major cancer centers in the United States. We used the Medicare enrollment and claims from January 1, 2014 to September 30, 2015 to build a spatial network from patients with cancer to cancer care facilities that provided inpatient and outpatient care of cancer-directed surgery, chemotherapy, and radiation. After excluding those without clinical care or outside of the United States, we identified 94 NCI-designated and other academic …

Composite Style Pixel And Point Convolution-Based Deep Fusion Neural Network Architecture For The Semantic Segmentation Of Hyperspectral And Lidar Data, Kevin T. Decker, Brett J. Borghetti

Faculty Publications

Multimodal hyperspectral and lidar data sets provide complementary spectral and structural data. Joint processing and exploitation to produce semantically labeled pixel maps through semantic segmentation has proven useful for a variety of decision tasks. In this work, we identify two areas of improvement over previous approaches and present a proof of concept network implementing these improvements. First, rather than using a late fusion style architecture as in prior work, our approach implements a composite style fusion architecture to allow for the simultaneous generation of multimodal features and the learning of fused features during encoding. Second, our approach processes the higher …

Structural Problems Of Latin American Cities 450 Years After Caracas’ Foundation, Fabio Capra-Ribeiro

Faculty Publications

Latin American cities face many problems that compromise them from different angles such as lack of infrastructure, government fragmentation, and environmental degradation. At the same time, each city tries to come up with its own solutions, but there are so many difficulties that in many cases it is difficult to keep attention and efforts focused on all these directions. For these reasons, this research aims to define some of the most common problems faced by cities in Latin America. Disseminating these similarities could help to face those problems, since, if local governments recognize that they face the same situations as …

Global Gnss-Ro Electron Density In The Lower Ionosphere, Dong L. Wu, Daniel J. Emmons Ii, Nimalan Swarnalingam

Faculty Publications

Lack of instrument sensitivity to low electron density (N_e) concentration makes it difficult to measure sharp N_e vertical gradients (four orders of magnitude over 30 km) in the D/E-region. A robust algorithm is developed to retrieve global D/E-region N_e from the high-rate GNSS radio occultation (RO) data, to improve spatiotemporal coverage using recent SmallSat/CubeSat constellations. The new algorithm removes F-region contributions in the RO excess phase profile by fitting a linear function to the data below the D-region. The new GNSS-RO observations reveal many interesting features in the diurnal, seasonal, solar-cycle, and magnetic-field-dependent variations in the …

Off-Peak Ndvi Correction To Reconstruct Landsat Time Series For Post-Fire Recovery In High-Latitude Forests, Cuizhen Wang, Aiai Wang, Dianfan Guo, Haibo Li, Shuying Zang

Faculty Publications

Collecting long-term satellite image series in high latitudes has been challenging due to its short growing season. For off-peak imagery, its reflective properties need to be corrected to maintain the spectral consistency. This study compares three statistical approaches to reconstructing a 30-year normalized difference vegetation index (NDVI) series for forest recovery assessment after the 1987 Black Dragon Fire in the Greater Hinggan Mountains Forest, Northeast China. To correct the off-peak NDVI to peak NDVI, the Landsat paired regression takes advantage of the scene-to-scene linear relationship between the two images, the GIMMS booster approach compensates the NDVI increment rate based on …

Deep Learning Of High-Resolution Aerial Imagery For Coastal Marsh Change Detection: A Comparative Study, Grayson R. Morgan, Cuizhen Wang, Zhenlong Li, Steven R. Schill, Daniel R. Morgan

Faculty Publications

Deep learning techniques are increasingly being recognized as effective image classifiers. Aside from their successful performance in past studies, the accuracies have varied in complex environments, in comparison with the popularly of applied machine learning classifiers. This study seeks to explore the feasibility of using a U-Net deep learning architecture to classify bi-temporal, high-resolution, county-scale aerial images to determine the spatial extent and changes of land cover classes that directly or indirectly impact tidal marsh. The image set used in the analysis is a collection of a 1-m resolution collection of National Agriculture Imagery Program (NAIP) tiles from 2009 and …

A Comparison Of Sporadic-E Occurrence Rates Using Gps Radio Occultation And Ionosonde Measurements, Rodney Carmona, Omar A. Nava, Eugene V. Dao, Daniel J. Emmons

Faculty Publications

Sporadic-E (E_s) occurrence rates from Global Position Satellite radio occultation (GPS-RO) measurements have shown to vary by a factor of five between studies, motivating the need for a comparison with ground-based measurements. In an attempt to find accurate GPS-RO techniques for detecting E_s formation, occurrence rates derived using five previously developed GPS-RO techniques are compared to ionosonde measurements over an eight-year period from 2010–2017. GPS-RO measurements within 170 km of a ionosonde site are used to calculate E_s occurrence rates and compared to the ground-truth ionosonde measurements. The techniques are compared individually for each ionosonde site …

The Times, They Are A-Changin’: Tracking Shifts In Mental Health Signals From Early Phase To Later Phase Of The Covid-19 Pandemic In Australia, Siqin Wang, Xiao Huang, Tao Hu, Mengxi Zhang, Zhenlong Li, Huan Ning, Jonathan Corcoran, Asaduzzaman Khan, Yan Liu, Jiajia Zhang Ph.D., Xiaoming Li Ph.D.

Faculty Publications

Introduction Widespread problems of psychological distress have been observed in many countries following the outbreak of COVID-19, including Australia. What is lacking from current scholarship is a national-scale assessment that tracks the shifts in mental health during the pandemic timeline and across geographic contexts.

Methods Drawing on 244 406 geotagged tweets in Australia from 1 January 2020 to 31 May 2021, we employed machine learning and spatial mapping techniques to classify, measure and map changes in the Australian public’s mental health signals, and track their change across the different phases of the pandemic in eight Australian capital cities.

Results Australians’ …

Unmanned Aerial Remote Sensing Of Coastal Vegetation: A Review, Grayson R. Morgan, Michael E. Hodgson, Cuizhen Wang, Steven R. Schill

Faculty Publications

Coastal wetlands contribute greatly to our coasts economically and ecologically. The utility of coastal wetland vegetation, along with the multitude of dynamic forces they encounter, suggests the need of regular monitoring for sustainable management. While traditional in situ survey methods and remote sensing from space and manned platforms have provided means to monitor and study the coastal zone thus far, the recent developments of small unmanned aerial systems (sUAS) fill a small void between traditional in situ survey methods and the high spatial resolution of manned aircraft imagery. As an on-demand personal remote sensing device, an sUAS can be deployed …

‘Big’ And ‘Little’ Quo Vadis? In The United States, 1913–1916: Using Gis To Map Rival Modes Of Feature Cinema During The Transitional Era, Jeffrey Klenotic

Faculty Publications

This article emanates from a geospatial database of over 600 premieres of the Cines company’s Quo Vadis? (1913), an eight-reel film distributed by George Kleine, and nearly 250 premieres of the Quo Vadis Film Company’s Quo Vadis? (1913), a three-reel film of ambiguous origins distributed by Paul De Outo. By mapping local premieres of both films across the United States from 1913 through 1916, the data show with spatiotemporal precision the spread of Quo Vadis? as one of cinema’s early blockbuster titles. Yet within this national phenomenon, the two films’ footprints reveal differing cultural geographies served by competing efforts to …

Gis-Automated Delineation Of Hospital Service Areas In Florida: From Dartmouth Method To Network Community Detection Methods, Changzhen Wang, Fahui Wang

Faculty Publications

Since the Dartmouth Hospital Service Areas (HSAs) were proposed three decades ago, there has been a large body of work using the unit in examining the geographic variation in health care in the U.S. for evaluating health care system performance and informing health policy. However, many studies question the replicability and reliability of the Dartmouth HSAs in meeting the challenges of an ever-changing and a diverse set of health care services. This research develops a reproducible, automated, and efficient GIS tool to implement Dartmouth method for defining HSAs. Moreover, the research adapts two popular network community detection methods to account …

How To Map Soil Sealing, Land Take And Impervious Surfaces? A Systematic Review, Francesca Peroni, Salvatore Eugenio Pappalardo, Francesco Facchinelli, Edoardo Crescini, Michele Munafò, Michael E. Hodgson, Massimo De Marchi

Faculty Publications

Soil degradation is one of the main environmental issues within the international agendas on sustainability and climate adaptation. Among degradation processes, soil sealing represents the major threat, as ecosystem services dramatically decrease or are even nullified. The increasing use of big open data from satellites combined with AI algorithms are making geodata mining and mapping techniques essential to quantify soil sealing. Different keywords are adopted to define the phenomenon. However, at present, review articles presenting the state-of-the-art on mapping soil sealing by including the most common definitions are currently not available. Hence, we analyzed: (a) impervious surface, (b) soil sealing, …

Machine Learning Land Cover And Land Use Classification Of 4-Band Satellite Imagery, Lorelei Turner, Torrey J. Wagner, Paul Auclair, Brent T. Langhals

Faculty Publications

Land-cover and land-use classification generates categories of terrestrial features, such as water or trees, which can be used to track how land is used. This work applies classical, ensemble and neural network machine learning algorithms to a multispectral remote sensing dataset containing 405,000 28x28 pixel image patches in 4 electromagnetic frequency bands. For each algorithm, model metrics and prediction execution time were evaluated, resulting in two families of models; fast and precise. The prediction time for an 81,000-patch group of predictions wasmodels, and >5s for the precise models, and there was not a significant change in prediction time when a …

At-Sensor Radiometric Correction Of A Multispectral Camera (Rededge) For Suas Vegetation Mapping, Cuizhen Wang

Faculty Publications

Rapid advancement of drone technology enables small unmanned aircraft systems (sUAS) for quantitative applications in public and private sectors. The drone-mounted 5-band MicaSense RedEdge cameras, for example, have been popularly adopted in the agroindustry for assessment of crop healthiness. The camera extracts surface reflectance by referring to a pre-calibrated reflectance panel (CRP). This study tests the performance of a Matrace100/RedEdge-M camera in extracting surface reflectance orthoimages. Exploring multiple flights and field experiments, an at-sensor radiometric correction model was developed that integrated the default CRP and a Downwelling Light Sensor (DLS). Results at three vegetated sites reveal that the current CRP-only …