Social and Behavioral Sciences Commons^™

Mapping Flat, Deep, And Slow: On The 'Spirit Of Place' In New Cinema History, Jeffrey Klenotic

Faculty Publications

This essay engages in a creative, heuristic, and reflexive consideration of the ‘localities’ of cinema audiences by exploring New Cinema History as a place. New Cinema History is conceptualised as a place continually produced in and through its interactions with the heterogeneous multiplicities of situated audiences and experiences of cinema that form the topoi of its landscape of inquiry. In reflecting on how this placialised landscape has been and might be represented, I argue that New Cinema History’s ‘spirit of place’ is most productive when rendered within a ‘splatial’ framework that draws upon practices of flat, deep, and slow mapping …

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 …

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 …

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 …

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 …

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 …

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.

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 …

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 …

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 …

Benefit Sharing In The Arctic: A Systematic View, Andrey Petrov, Maria S. Tysiachniouk

Faculty Publications

Benefit sharing is a key concept for sustainable development in communities affected by the extractive industry. In the Arctic, where extractive activities have been growing, a comprehensive and systematic understanding of benefit sharing frameworks is especially critical. The goal of this paper is to develop a synthesis and advance the theory of benefit sharing frameworks in the Arctic. Based on previously published research, a review of literature, a desktop analysis of national legislation, as well as by capitalizing on the original case studies, this paper analyzes benefit sharing arrangements and develops the typology of benefit sharing regimes in the Arctic. …

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 …

Monitoring 40-Year Lake Area Changes Of The Qaidam Basin, Tibetan Plateau, Using Landsat Time Series, Huiying Li, Dehua Mao, Xiaoyan Li, Zongming Wang, Cuizhen Wang

Faculty Publications

Areal changes of high-altitude inland lakes on the Qaidam Basin (QB) of the Tibetan Plateau are reliable indicators of climate change and anthropogenic disturbance. Due to the physical difficulties to access, our knowledge of the spatial patterns and processes of climatic and human impacts on the Basin has been limited. Focusing on lake area changes, this study used long-term Landsat images to map the patterns of lakes and glaciers in 1977, 1990, 2000, and 2015, and to monitor the spatially explicit changes of lakes between 1977 and 2015. Results revealed that the total number of lakes (area > 0.5 km2 ) …

Review Of The Herds Shot Round The World: Native Breeds And The British Empire, 1800—1900, By Rebecca Woods, Andrew Sluyter

Faculty Publications

No abstract provided.

Student Led Area Measurement Assessments Using Virtual Globes And Pictometry Web-Based Interface Within An Undergraduate Spatial Science Curriculum, David Kulhavy, I-Kuai Hung, Daniel Unger, Yanli Zhang

Faculty Publications

The use of Virtual Globes and Pictometry continues to expand and develop in undergraduate spatial science education. Spatial science undergraduates measured the area of 30 rectangles on the earth’s surface and compared them to Pictometry hyperspectral imagery measurements within a web-based interface and the Google Earth interface compared to ArcGIS Explorer, Map Developers and ArcMap using the ArcMap 10.5.2 interface. An analysis of variance of the absolute mean area errors (p-value of 0.009271) concluded the accuracy of the five area measurements were statistically different at the 95% confidence interval. A Tukey pair-wise test found that the Pictometry and Google Earth …

Mapping Soil Alkalinity And Salinity In Northern Songnen Plain, China With The Hj-1 Hyperspectral Imager Data And Partial Least Squares Regression, Lin Bai, Cuizhen Wang, Shuying Zang, Changshan Wu, Jinming Luo, Yuexiang Wu

Faculty Publications

In arid and semi-arid regions, identifying and monitoring of soil alkalinity and salinity are in urgently need for preventing land degradation and maintaining ecological balances. In this study, physicochemical, statistical, and spectral analysis revealed that potential of hydrogen (pH) and electrical conductivity (EC) characterized the saline-alkali soils and were sensitive to the visible and near infrared (VIS-NIR) wavelengths. On the basis of soil pH, EC, and spectral data, the partial least squares regression (PLSR) models for estimating soil alkalinity and salinity were constructed. The R² values for soil pH and EC models were 0.77 and 0.48, and the root …

Prediction Of Soil Formation As A Function Of Age Using The Percolation Theory Approach, Markus Egli, Allen G. Hunt, Dennis Dahms, Gerald Raab, Curdin Derungs, Salvatore Raimondi, Fang Yu

Faculty Publications

Recent modeling and comparison with field results showed that soil formation by chemical weathering, either from bedrock or unconsolidated material, is limited largely by solute transport. Chemical weathering rates are proportional to solute velocities. Nonreactive solute transport described by non-Gaussian transport theory appears compatible with soil formation rates. This change in understanding opens new possibilities for predicting soil production and depth across orders of magnitude of time scales. Percolation theory for modeling the evolution of soil depth and production was applied to new and published data for alpine and Mediterranean soils. The first goal was to check whether the empirical …

Impacts Of Agricultural Expansion (1910s-2010s) On Water Cycle In The Songneng Plain, Northeast China, Lijuan Zhang, Cuizhen Wang, Xiaxiang Li, Hongwen Zhang, Wenliang Li, Lanqi Jiang

Faculty Publications

Agricultural expansion is one of the primary land use changes on the Earth’s surface. The Songnen Plain in Northeast China is renowned for its Black Soil and is one of the most important agricultural regions of this country. In the last century, its population increased 20-fold and excessive areas of grassland were cultivated. Based on a series of decadal land use/land cover data sets in the plain (1910s–2010s), this study simulated the water balance in each decade using the Weather Research and Forecasting (WRF) model and assessed the water effects of centurial agricultural expansion. Six variables were simulated to explain …

Non-Gnss Smartphone Pedestrian Navigation Using Barometric Elevation And Digital Map-Matching, Daniel Broyles, Kyle J. Kauffman, John F. Raquet, Piotr Smagowski

Faculty Publications

Pedestrian navigation in outdoor environments where global navigation satellite systems (GNSS) are unavailable is a challenging problem. Existing technologies that have attempted to address this problemoften require external reference signals or specialized hardware, the extra size,weight, power, and cost of which are unsuitable for many applications. This article presents a real-time, self-contained outdoor navigation application that uses only the existing sensors on a smartphone in conjunction with a preloaded digital elevation map. The core algorithm implements a particle filter, which fuses sensor data with a stochastic pedestrian motion model to predict the user’s position. The smartphone’s barometric elevation is then …

Spatial Assessment Of Water Quality With Urbanization In 2007-2015, Shanghai, China, Huixuan Li, Cuizhen Wang, Xiao Huang, Andrew Hug

Faculty Publications

Shanghai, as one of the megacities and economic centers of China, is facing critical water quality challenges. This study analyzed the impact of urbanization on the water quality in Shanghai, from 2007 to 2015, using remote sensing (RS) and geographic information system (GIS) techniques. Five measurements of water quality were employed: total discharged wastewater volume, general water quality levels, dissolved oxygen (DO), permanganate, and ammonia nitrogen. The impacts of urban land-use changes on water quality were examined. An urban index was extracted from satellite image classification and was used to quantify the anthropogenic activities. In the watershed level, unit watersheds …

Assessing Relevance Of Tweets For Risk Communication, Xiaohui Liu, Bandana Kar, Chaoyang Zhang, David M. Cochran

Faculty Publications

Although Twitter is used for emergency management activities, the relevance of tweets during a hazard event is still open to debate. In this study, six different computational (i.e. Natural Language Processing) and spatiotemporal analytical approaches were implemented to assess the relevance of risk information extracted from tweets obtained during the 2013 Colorado flood event. Primarily, tweets containing information about the flooding events and its impacts were analysed. Examination of the relationships between tweet volume and its content with precipitation amount, damage extent, and official reports revealed that relevant tweets provided information about the event and its impacts rather than any …

Remote Sensing Of Soil Alkalinity And Salinity In The Wuyu’Er-Shuangyang River Basin, Northeast China, Lin Bai, Cuizhen Wang, Shuying Zang, Yuhong Zhang, Qiannan Hao, Yuexiang Wu

Faculty Publications

The Songnen Plain of the Northeast China is one of the three largest soda saline-alkali regions worldwide. To better understand soil alkalinization and salinization in this important agricultural region, it is vital to explore the distribution and variation of soil alkalinity and salinity in space and time. This study examined soil properties and identified the variables to extract soil alkalinity and salinity via physico-chemical, statistical, spectral, and image analysis. The physico-chemical and statistical results suggested that alkaline soils, coming from the main solute Na₂CO₃ and NaHCO₃ in parent rocks, characterized the study area. The pH and …