Geography Commons^™

Uncertain Regional Urbanism In Venezuela. Government, Infrastructure And Environment, Fabio Capra-Ribeiro

Faculty Publications

Uncertain Regional Urbanism in Venezuela explores the changes cities face when they become metropolises, forming expanding regions which create both potential and problems within settlements. To do so, it focuses on three metropolitan areas located in Venezuela’s Center-North region: Caracas, Maracay and Valencia, designated as "Camava."

Considering three core topics, government and territorial administration, infrastructure and environment, as well as looking at the reciprocal impact, this book describes and analyzes the determinant variables that characterize the phenomenon of regional urbanization in this area and in the wider Global South. It includes documentary research, semi-structured interviews and Delphi methodology, involving a …

Environmentally Clean Access To Antarctic Subglacial Aquatic Environments, Alexander B. Michaud, Trista (Vick-Majors, Amanda M. Achberger, Mark L. Skidmore, Brent C. Christner, Martyn Tranter, John C. Priscu

Faculty Publications

Subglacial Antarctic aquatic environments are important targets for scientific exploration due to the unique ecosystems they support and their sediments containing palaeoenvironmental records. Directly accessing these environments while preventing forward contamination and demonstrating that it has not been introduced is logistically challenging. The Whillans Ice Stream Subglacial Access Research Drilling (WISSARD) project designed, tested and implemented a microbiologically and chemically clean method of hot-water drilling that was subsequently used to access subglacial aquatic environments. We report microbiological and biogeochemical data collected from the drilling system and underlying water columns during sub-ice explorations beneath the McMurdo and Ross ice shelves and …

Urban Crime Mapping And Analysis Using Gis, Alina Ristea, Michael Leitner

Faculty Publications

No abstract provided.

Application Of The Saffir-Simpson Hurricane Wind Scale To Assess Sand Dune Response To Tropical Storms, Jean Taylor Ellis, Michelle E. Harris, Mayra A. Román-Rivera, J. Brianna Ferguson, Peter A. Tereszkiewicz, Sean P. Mcgill

Faculty Publications

Over one-third of the Earth’s population resides or works within 200 km of the coast. The increasing threat of coastal hazards with predicted climate change will impact many global citizens. Coastal dune systems serve as a natural first line of defense against rising sea levels and coastal storms. This study investigated the volumetric changes of two dune systems on Isle of Palms, South Carolina, USA prior to and following Hurricanes Irma (2017) and Florence (2018), which impacted the island as tropical storms with different characteristics. Irma had relatively high significant wave heights and precipitation, resulting in an average 39% volumetric …

Antarctica And The Southern Ocean, Jessica Blunden, Derek S. Arndt, E. Povl Abrahamsen, Sandra Barreira, Cecilia M. Bitz, Amy Butler, Kyle R. Clem, Steve Colwell, Lawrence Coy, Jos De Laat, Marcel D. Du Plessis, Ryan L. Fogt, Helen Amanda Fricker, John Fyfe, Alex S. Gardner, Sarah T. Gille, Tessa Gorte, L. Gregor, Will Hobbs, Bryan Johnson, Eric Keenan, Linda M. Keller, Natalya A. Kramarova, Matthew A. Lazzara, Jan T.M. Lenaerts, Jan L. Lieser, Hongxing Liu, Craig S. Long, Michelle Maclennan, Robert A. Massom, François Massonnet, Matthew R. Mazloff

Faculty Publications

No abstract provided.

Introduction To Big Data Computing For Geospatial Applications, Zhenlong Li, Wenwu Tang, Qunying Huang, Eric Shook, Qingfeng Guan

Faculty Publications

The convergence of big data and geospatial computing has brought challenges and opportunities to GIScience with regards to geospatial data management, processing, analysis, modeling, and visualization. This special issue highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates the opportunities for using big data for geospatial applications. Crucial to the advancements highlighted here is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms. This editorial first introduces the background and motivation of this …

Wideband Satcom Model: Evaluation Of Numerical Accuracy And Efficiency, Andrew J. Knisely, Andrew J. Terzuoli Jr.

Faculty Publications

The spectral method is typically applied as a simple and efficient method to solve the parabolic wave equation in phase screen scintillation models. The critical factors that can greatly affect the spectral method accuracy is the uniformity and smoothness of the input function. This paper observes these effects on the accuracy of the finite difference and the spectral methods applied to a wideband SATCOM signal propagation model simulated in the ultra-high frequency (UHF) band. The finite difference method uses local pointwise approximations to calculate a derivative. The spectral method uses global trigonometric interpolants that achieve remarkable accuracy for continuously differentiable …

Evaluating Temporal Approximation Methods Using Burglary Data, Lukas Oswald, Michael Leitner

Faculty Publications

Law enforcement is very interested in knowing when a crime has happened. Unfortunately, the occurrence time of a crime is often not exactly known. In such circumstances, estimating the most likely time that a crime has happened is crucial for spatio-temporal analysis. The main purpose of this research is to introduce two novel temporal approximation methods, termed retrospective temporal analysis (RTA) and extended retrospective temporal analysis (RTAext). Both methods are compared to six existing temporal approximation methods and subsequently evaluated in order to identify the method that can most accurately estimate the occurrence time of crimes. This research is conducted …

A 100 M Population Grid In The Conus By Disaggregating Census Data With Open-Source Microsoft Building Footprints, Xiao Huang, Cuizhen Wang, Zhenlong Li, Huan Ning

Faculty Publications

In the Big Data era, Earth observation is becoming a complex process integrating physical and social sectors. This study presents an approach to generating a 100 m population grid in the Contiguous United States (CONUS) by disaggregating the US census records using 125 million of building footprints released by Microsoft in 2018. Land-use data from the OpenStreetMap (OSM), a crowdsourcing platform, was applied to trim original footprints by removing the non-residential buildings. After trimming, several metrics of building measurements such as building size and building count in a census tract were used as weighting scenarios, with which a dasymetric model …

Comparison Of Terrestrial Lidar, Sfm, And Mbes Resolution And Accuracy For Geomorphic Analyses In Physical Systems That Experience Subaerial And Subaqueous Conditions, Taylor Rowley, Mick Ursic, Kory Konsoer, Eddy Langendon, Mike Mutschler, Josh Sampey, Pawel Pocwiardowski

Faculty Publications

This study provides a systematic comparison of lidar, Multibeam Echo Sounders (MBES), and Structure-from-Motion (SfM) derived datasets collected over a fixed surface contained within a large outdoor flume converted to a 15 × 2.5 × 1.5 m tank. The surface incorporated various morphological features and structures for measurement technique comparison over varying surface type and geometries. Two lidar scans and two photograph sets (used in SfM) capture the subaerial surface within the experimental tank before and after the tank was filled for MBES measurements. MBES surveys at varied frequencies (200 and 400 kHz), swath widths (90° and 150°), and phase/amplitude …

Learning Set Representations For Lwir In-Scene Atmospheric Compensation, Nicholas M. Westing, Kevin C. Gross, Brett J. Borghetti, Jacob A. Martin, Joseph Meola

Faculty Publications

Atmospheric compensation of long-wave infrared (LWIR) hyperspectral imagery is investigated in this article using set representations learned by a neural network. This approach relies on synthetic at-sensor radiance data derived from collected radiosondes and a diverse database of measured emissivity spectra sampled at a range of surface temperatures. The network loss function relies on LWIR radiative transfer equations to update model parameters. Atmospheric predictions are made on a set of diverse pixels extracted from the scene, without knowledge of blackbody pixels or pixel temperatures. The network architecture utilizes permutation-invariant layers to predict a set representation, similar to the work performed …

How Rare Was The August 2016 South-Central Louisiana Heavy Rainfall Event?, Vincent M. Brown, Barry D. Keim, William D. Kappel, Douglas M. Hultstrand, Ashton G. Peyrefitte, Alan W. Black, Kristi M. Steinhilber, Geoffrey A. Muhlestein

Faculty Publications

This study examines the spatiotemporal characteristics of the historic 10-14 August 2016 south-central Louisiana precipitation event. The storm was the result of a moisture-rich, tropical low pressure system, also known as a tropical easterly wave, that slowly tracked westward along the Gulf Coast from Florida to Texas. Once over south-central Louisiana, the storm was able to take advantage of anomalously high precipitable water, broad low-level instability, and continuous moisture inflow from the Gulf of Mexico to produce historic rainfall. Totals exceeded 254mm (10 in.) for much of southern Louisiana, while locations adjacent to Baton Rouge and Lafayette received upward of …

Remote Sensing Derived Indices For Tracking Urban Land Surface Change In Case Of Earthquake Recovery, Sahar Derakhshan, Susan Lynn Cutter, Cuizhen Wang

Faculty Publications

The study of post-disaster recovery requires an understanding of the reconstruction process and growth trend of the impacted regions. In case of earthquakes, while remote sensing has been applied for response and damage assessment, its application has not been investigated thoroughly for monitoring the recovery dynamics in spatially and temporally explicit dimensions. The need and necessity for tracking the change in the built-environment through time is essential for post-disaster recovery modeling, and remote sensing is particularly useful for obtaining this information when other sources of data are scarce or unavailable. Additionally, the longitudinal study of repeated observations over time in …

North Atlantic Hurricane Winds In Warmer Than Normal Seas, Jill C. Trepanier

Faculty Publications

Tropical cyclones devastate coastlines around the world. The United States and surrounding areas experienced catastrophic extreme events in recent hurricane seasons. Understanding extreme hurricanes and how they change in a warming ocean environment is of the utmost importance. This study makes use of the historical, positive relationship between average summer sea surface temperatures (SSTs) and maximum hurricane wind speeds across the North Atlantic Basin from 1854-2018. Geographically weighted regression shows how the relationship between hurricane winds and SSTs varies across space. Each localized slope is used to increase historical wind speeds to represent winds in a three-degree Celsius warmer-than-average sea …

Climatology And Spatiotemporal Analysis Of North Atlantic Rapidly Intensifying Hurricanes (1851-2017), Kathleen M. Benedetto, Jill C. Trepanier

Faculty Publications

In recent decades, the scientific ability to project tropical cyclone (TC) intensities and tracks has improved. Hurricanes undergoing the process of rapid intensification (RI) have created new barriers in formulating predictions of TC paths and peak velocities. Current research suggests the warming climate may produce more intense TCs with a higher probability of undergoing RI during their life cycle. The increased likelihood of rapidly intensifying TCs necessitates the development of an RI climatology spanning the current North Atlantic record. A time series count analysis suggests a significant increasing trend of RI events in the Atlantic basin by 29.1% (17%-45%) from …

Trend Analysis Of Multiple Extreme Hourly Precipitation Time Series In The Southeastern United States, Vincent M. Brown, Barry D. Keim, Alan W. Black

Faculty Publications

Annual trends in extreme hourly precipitation time series were examined at 50 first-order weather stations across the southeastern United States from 1960 to 2017. Results indicated that the magnitude of annual maximum 1-, 3-, 6-, 12-, and 18-h periods did not broadly change at the sites analyzed; however, the numerical value that defines a (station specific) 90th-percentile hourly accumulation significantly (p ≤ 0.05) increased at 36% (18/50) of the stations. No station had a significant decreasing trend in annual 90th-percentile hourly event magnitude. Stations in Texas observed the largest increase in annual 90th-percentile hourly event magnitude, where parameter estimates showed …

Modeling Quality Of Urban Life Using A Geospatial Approach, Helena Merschdorf, Michael E. Hodgson, Thomas Blaschke

Faculty Publications

The rapid global urbanization of the past century poses several challenges for planners and policy makers. In particular, the conflation of social and urban issues must be understood to create sustainable and livable urban places. In this regard, it was our aim to model and understand the relationship between urban characteristics and peoples’ perceived quality of urban life (QoUL) using statistical analysis and geospatial modeling. We selected objective variables representing urban characteristics based on literature and used principal components analysis to develop uncorrelated components. These components served as the independent variables in a multiple linear regression analysis. The subjective, dependent …

Prototyping A Social Media Flooding Photo Screening System Based On Deep Learning, Zhenlong Li Huan Ning, Michael E. Hodgson, Cuizhen Wang

Faculty Publications

This article aims to implement a prototype screening system to identify flooding-related photos from social media. These photos, associated with their geographic locations, can provide free, timely, and reliable visual information about flood events to the decision-makers. This screening system, designed for application to social media images, includes several key modules: tweet/image downloading, flooding photo detection, and aWebGIS application for human verification. In this study, a training dataset of 4800 flooding photos was built based on an iterative method using a convolutional neural network (CNN) developed and trained to detect flooding photos. The system was designed in a way that …

Charros: How Mexican Cowboys Are Remapping Race And American Identity, Andrew Sluyter

Faculty Publications

No abstract provided.

Informe Tecnico De Los Trabajos De Campo Del Proyecto De Investigación Arqueológica Cerro San Isidro, Valle De Nepeña, Costa De Ancash -- Temporada 2019, David Chicoine, Jeisen Navarro

Faculty Publications

No abstract provided.

Prototyping A Social Media Flooding Photo Screening System Based On Deep Learning, Huan Ning, Zhenlong Li, Michael E. Hodgson, Cuizhen Wang

Faculty Publications

This article aims to implement a prototype screening system to identify flooding-related photos from social media. These photos, associated with their geographic locations, can provide free, timely, and reliable visual information about flood events to the decision-makers. This screening system, designed for application to social media images, includes several key modules: tweet/image downloading, flooding photo detection, and a WebGIS application for human verification. In this study, a training dataset of 4800 flooding photos was built based on an iterative method using a convolutional neural network (CNN) developed and trained to detect flooding photos. The system was designed in a way …

Morphologic Adjustments Of Actively Evolving Highly Curved Neck Cutoffs, Derek Richards, Kory Konsoer

Faculty Publications

Neck cutoffs and their resultant oxbow lakes are important and prominent features of riverine landscapes. Detailed field-based research focusing on the morphologic evolution of neck cutoffs is currently insufficient to fully characterize cutoff evolution. High-resolution bathymetric data were collected over 3 years for the purpose of determining channel morphology and morphologic change on three actively evolving neck cutoffs. Results indicate the following general trends in morphologic adjustment: (1) a longitudinal bar in the upstream meander limb that develops near the entrance to the abandoned bend; (2) a deep scour hole in the downstream meander limb immediately downstream of the cutoff …

The Future Of Reef Ecosystems In The Gulf Of Mexico: Insights From Coupled Climate Model Simulations And Ancient Hot-House Reefs, Kristine L. Delong

Faculty Publications

emperatures (SST), salinity, carbonate chemistry, and acidity. Over the last half-century, some reef communities have been disappearing at an alarming pace. This study focuses on the Gulf of Mexico, where the majority of shallow coral reefs are reported to be in poor or fair condition. We analyze the RCP8.5 ensemble of the Community Earth System Model v1.2 to identify monthly-to-decadal trends in Gulf of Mexico SST. Secondly, we examine projected changes in ocean pH, carbonate saturation state, and salinity in the same coupled model simulations. We find that the joint impacts of predicted higher temperatures and changes in ocean acidification …

Pacts 1.0: A Crowdsourced Reporting Standard For Paleoclimate Data, Kristine Delong

Faculty Publications

The progress of science is tied to the standardization of measurements, instruments, and data. This is especially true in the Big Data age, where analyzing large data volumes critically hinges on the data being standardized. Accordingly, the lack of community-sanctioned data standards in paleoclimatology has largely precluded the benefits of Big Data advances in the field. Building upon recent efforts to standardize the format and terminology of paleoclimate data, this article describes the Paleoclimate Community reporTing Standard (PaCTS), a crowdsourced reporting standard for such data. PaCTS captures which information should be included when reporting paleoclimate data, with the goal of …

Wetland Biomass And Productivity In Coastal Louisiana: Base Line Data (1976-2015) And Knowledge Gaps For The Development Of Spatially Explicit Models For Ecosystem Restoration And Rehabilitation Initiatives, Victor H. Rivera-Monroy, Courtney Elliton, Siddhartha Narra, Ehab Meselhe, Xiaochen Zhao, Eric White, Charles E. Sasser, Jenneke M. Visser, Xuelian Meng, Hongqing Wang, Zuo Xue, Fernando Jaramillo

Faculty Publications

Coastal Louisiana hosts 37% of the coastal wetland area in the conterminous US, including one of the deltaic coastal regions more susceptible to the synergy of human and natural impacts causing wetland loss. As a result of the construction of flood protection infrastructure, dredging of channels across wetlands for oil/gas exploration and maritime transport activities, coastal Louisiana has lost approximately 4900 km2 of wetland area since the early 1930s. Despite the economic relevance of both wetland biomass and net primary productivity (NPP) as ecosystem services, there is a lack of vegetation simulation models to forecast the trends of those functional …

Understanding The Spatiotemporal Development Of Human Settlement In Hurricane-Prone Areas On The Us Atlantic And Gulf Coasts Using Nighttime Remote Sensing, Xiao Huang, Cuizhen Wang, Junyu Lu

Faculty Publications

Hurricanes, as one of the most devastating natural hazards, have posed a great threat to people in coastal areas. A better understanding of the spatiotemporal dynamics of human settlement in hurricane-prone areas largely benefits sustainable development. This study uses the nighttime light (NTL) data from the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP/OLS) to examine human settlement development in areas with different levels of hurricane proneness from 1992 to 2013. The DMSP/OLS NTL data from six satellites were intercalibrated and desaturated with the Advanced Very High Resolution Radiometer (AVHRR) and Moderate Resolution Imaging Spectroradiometer (MODIS) optical imagery to derive …

Shelf Inputs And Lateral Transport Of Mn, Co, And Ce In The Western North Pacific Ocean, Peter L. Morton, William M. Landing, Alan M. Shiller, Thomas D. Kelly, Michael Bizimis, John R. Donat, Eric H. De Carlo, Joseph Shacat

Faculty Publications

The margin of the western North Pacific Ocean releases redox-active elements like Mn, Co, and Ce into the water column to undergo further transformation through oxide formation, scavenging, and reductive dissolution. Near the margin, the upper ocean waters enriched in these elements are characterized by high dissolved oxygen, low salinity, and low temperature, and are a source of the North Pacific Intermediate Water. High dissolved concentrations are observed across the Western Subarctic Gyre, with a rapid decrease in concentrations away from the margin and across the subarctic-subtropical front. The particulate concentrations of Mn, Co, and Ce are also high in …

Climatology And Trends In Hourly Precipitation For The Southeast United States, Vincent M. Brown, Barry D. Keim, Alan W. Black

Faculty Publications

This research introduces a climatology of hourly precipitation characteristics, investigates trends in precipitation hours (PH) and hourly accumulation, and uses four different time series to determine if precipitation intensity is changing across the southeastern United States from 1960 to 2017. Results indicate hourly intensity significantly increased at 44% (22/50) of the stations, accompanied by an increase in average hourly accumulation at 40% of the sites analyzed (20/50). The average duration of precipitation events decreased at 82% (41/50) of the stations. However, the frequency of 90th percentile hourly events and events above station-specific average hourly totals did not show a broad …

Investigation Of Spectral Variation Of Pine Needles As An Indicator Of Arsenic Content In Soils, Ji Hye Shin, Jaehyung Yu, Lei Wang, Jieun Kim, Sang Mo Koh

Faculty Publications

The spectral response to arsenic (As) stress of pine needles (Pinus densiflora Siebold and Zucc.) from an abandoned lead (Pb)–zinc (Zn) mine was investigated based on chemical and spectroscopic analyses. The correlation analysis between the content of As in needle samples and that of soils and spectral parameters of the needle samples were conducted. The results showed very high correlation between As content in pine needles and soils. The major spectral response of pine needles to the As stress were characterized by the increase in the green and red color reflectance, the decrease in the first derivatives at 1648 nm, …

Assessing Natural And Mechanical Dune Performance In A Post-Hurricane Environment, Jean T. Ellis, Mayra Alejandra Roman-Rivera

Faculty Publications

The purpose of this study is to document the geomorphic evolution of a mechanical dune over approximately one year following its installation and compare it to the recovery of a natural dune following the impact of Hurricane Matthew (2016). During the study period, the dunes’ integrity was tested by wave and wind events, including king tides, and a second hurricane (Irma, 2017), at the end of the study period. Prior to the impact of the second hurricane, the volumetric increase of the mechanical and natural dune was 32% and 75%, respectively, suggesting that scraping alone is not the optimal protection …