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Articles 211 - 240 of 337
Full-Text Articles in Geographic Information Sciences
Homelessness In Portland, Oregon: An Analysis Of Homeless Campsite Spatial Patterns And Spatial Relationships, Krystle N. Harrell
Homelessness In Portland, Oregon: An Analysis Of Homeless Campsite Spatial Patterns And Spatial Relationships, Krystle N. Harrell
Geography Masters Research Papers
Homelessness is a complex American social issue. Understanding the homeless population, including how many people experience homelessness, how they entered the experience, their demographics, how they survive, and where they survive, aids policymakers, planners, and advocates in developing the appropriate approaches and solutions to end and prevent homelessness. Analysis of homeless spatial patterns and distributions across different locales provides a more in-depth understandings of this population and how best to support them, from the local to national level. Using geographic information systems (GIS) and statistical methods, this study examines the spatial patterns of homeless campsites and their relationship with urban …
Geographical Analysis Of Offender Vulnerability: Modeling Coastal Hazards And Social Disorganization In Southern Mississippi, Ashleigh Nicole Price
Geographical Analysis Of Offender Vulnerability: Modeling Coastal Hazards And Social Disorganization In Southern Mississippi, Ashleigh Nicole Price
Master's Theses
Hazards research continually examines how specific groups are affected by damaging events and how their unique sociodemographic characteristics contribute to variations in resilience and recovery. Studies have shown that underprivileged communities suffer more adversely and take longer to recover from hazard events. Probationers and parolees are uniquely disadvantaged regarding demographics and economic opportunity, both of which contribute to increased vulnerability and reduced resilience. Numerous legal restrictions and widespread discrimination towards former criminals means offenders are often relegated to underserved, criminogenic neighborhoods. Given such severe social and financial limitations, offenders have little capacity to prepare for or recover from disasters.
The …
The Image From The Road: Towards Mapping The Phenomenological, Rachel Anna Smith Loerts
The Image From The Road: Towards Mapping The Phenomenological, Rachel Anna Smith Loerts
Graduate Theses and Dissertations
An area of focus, used in early and contemporary forms of cognitive geography research, is the ‘cognitive map’, a concept that suggests “that people hold a map-like database in their minds to which they can add and use to tackle geographical tasks”. Kevin Lynch, an urban planner in the 1960s, was an early adopter of the cognitive map approach to reveal spatial cognition, what or how people see their environment, specifically cognition of the urban environment. Lynch’s research aimed to develop empirical methods, to identify how people make spatial relationships. Contemporary tools like machine learning are now considered relevant for …
Geoannotator: A Collaborative Semi-Automatic Platform For Constructing Geo-Annotated Text Corpora, Morteza Karimzadeh, Alan M. Maceachren
Geoannotator: A Collaborative Semi-Automatic Platform For Constructing Geo-Annotated Text Corpora, Morteza Karimzadeh, Alan M. Maceachren
Purdue University Libraries Open Access Publishing Fund
Ground-truth datasets are essential for the training and evaluation of any automated algorithm. As such, gold-standard annotated corpora underlie most advances in natural language processing (NLP). However, only a few relatively small (geo-)annotated datasets are available for geoparsing, i.e., the automatic recognition and geolocation of place references in unstructured text. The creation of geoparsing corpora that include both the recognition of place names in text and matching of those names to toponyms in a geographic gazetteer (a process we call geo-annotation), is a laborious, time-consuming and expensive task. The field lacks efficient geo-annotation tools to support corpus building and lacks …
Twitter Use In Hurricane Isaac And Its Implications To Disaster Resilience, Kejin Wang
Twitter Use In Hurricane Isaac And Its Implications To Disaster Resilience, Kejin Wang
LSU Master's Theses
Disaster Resilience is the capacity of a community to ‘bounce back’ from disastrous events. Most studies rely on traditional data such as census data to study community resilience. With the advent of social media era, the new data source gives us an opportunity to explore the application of Twitter data to better understand disaster resilience. A research question is: does Twitter use correlate with disaster resilience? In other words, will communities with more Twitter users be more resilient to disasters, presumably because they are more likely to be better informed? The underlying issue is that if there are social and …
Vulnerability Of Industrial Facilities In The Lower Mississippi River Industrial Corridor To Relative Sea Level Rise And Tropical Cyclone Storm Surge, Joseph Blake Harris
Vulnerability Of Industrial Facilities In The Lower Mississippi River Industrial Corridor To Relative Sea Level Rise And Tropical Cyclone Storm Surge, Joseph Blake Harris
LSU Doctoral Dissertations
Relative sea level rise (RSLR) and tropical cyclone-induced storm surge are major threats to the Lower Mississippi River Industrial Corridor (LMRIC) which has approximately 120 industrial complexes located within the corridor. Spatial interpolation methods were applied to the 2004 National Oceanic and Atmospheric published Technical Report #50 subsidence dataset and cross-validation techniques were used to determine the accuracy of each method. Digital elevation models (DEMs) were created for the years 2025, 2050, and 2075, based on these predictive surface of subsidence rates. Future DEMs were utilized to model RSLR and determine the extent of storm surge on the LMRIC by …
Archaeology And Climate Change: Sites At Risk Of Sea Level Rise In The Puget Sound, Christy Lynn Berg
Archaeology And Climate Change: Sites At Risk Of Sea Level Rise In The Puget Sound, Christy Lynn Berg
2019 Symposium
The Puget Sound Watershed, located along Washington’s Northwest coast, contains 5,467 recorded archaeological sites. 1,290 of which are listed on the National Register of Historic Places. The majority of these sites are located along the coastline and associated waterways making them highly susceptible to climate change induced sea level rise. This research uses data provided from The Washington State Department of Archaeology and Historic Preservation and a geographic information system (GIS) to determine the susceptibility of thousands of sites to rising sea-levels. A mosaic of 10m resolution digital elevation models (DEMS) was created for the Puget Sound Watershed and elevation …
Characterizing Spatiotemporal Patterns Of White Mold In Soybean Across South Dakota Using Remote Sensing, Confiance L. Mfuka
Characterizing Spatiotemporal Patterns Of White Mold In Soybean Across South Dakota Using Remote Sensing, Confiance L. Mfuka
Electronic Theses and Dissertations
Soybean is among the most important crops, cultivated primarily for beans, which are used for food, feed, and biofuel. According to FAO, the United States was the biggest soybeans producer in 2016. The main soybean producing regions in the United States are the Corn Belt and the lower Mississippi Valley. Despite its importance, soybean production is reduced by several diseases, among which Sclerotinia stem rot, also known as white mold, a fungal disease that is caused by the fungus Sclerotinia sclerotiorum is among the top 10 soybean diseases. The disease may attack several plants and considerably reduce yield. According to …
Object-Based Supervised Machine Learning Regional-Scale Land-Cover Classification Using High Resolution Remotely Sensed Data, Christopher A. Ramezan
Object-Based Supervised Machine Learning Regional-Scale Land-Cover Classification Using High Resolution Remotely Sensed Data, Christopher A. Ramezan
Graduate Theses, Dissertations, and Problem Reports (ETD)
High spatial resolution (HR) (1m – 5m) remotely sensed data in conjunction with supervised machine learning classification are commonly used to construct land-cover classifications. Despite the increasing availability of HR data, most studies investigating HR remotely sensed data and associated classification methods employ relatively small study areas. This work therefore drew on a 2,609 km2, regional-scale study in northeastern West Virginia, USA, to investigates a number of core aspects of HR land-cover supervised classification using machine learning. Issues explored include training sample selection, cross-validation parameter tuning, the choice of machine learning algorithm, training sample set size, and feature selection. A …
An Assessment Of Farmer Participation In The United States Department Of Agriculture, Natural Resources Conservation Services’ Conservation Technical Assistance Program In West Virginia, Matt D. Oliver
Graduate Theses, Dissertations, and Problem Reports (ETD)
Food and fiber production on America’s farmlands have a major influence on the environment, therefore, soil and water conservation practices are critical. NRCS has provided no-fee technical assistance for nearly 100 years through the Conservation Technical Assistance (CTA) program. The CTA program is essential because it provides technical knowledge directly to farmers for planning and implementing conservation practices that are proven to benefit environmental health and on-farm production. CTA program funds support NRCS staff and training and are thereby the local service delivery vehicle for all NRCS programs. However, in recent years, funding for CTA has remained relatively constant while …
A Deep Dive Into The Land Development Dynamics Of A Complex Landscape, Pariya Pourmohammadi
A Deep Dive Into The Land Development Dynamics Of A Complex Landscape, Pariya Pourmohammadi
Graduate Theses, Dissertations, and Problem Reports (ETD)
Land development is a complex and dynamic process simultaneously interacting with numerous environmental, cultural and economic procedures. In this research we studied past, present and future of land transformation in Appalachia. This dissertation is organized in three-essay format and each essay is focused on one aspect of land development processes in a sub-region in the Appalachian region. In the first essay, deep learning techniques are used to build predictive models for the land development. This study presets deconvolutional neural networks models in predicting land development. On the second essay, spatial data analysis and remote sensing are used to investigate the …
The Environmental, Social, And Economic Benefits Of Blue Green Infrastructure In An Urbanized Area, Joseph L. Oguns
The Environmental, Social, And Economic Benefits Of Blue Green Infrastructure In An Urbanized Area, Joseph L. Oguns
Graduate Theses, Dissertations, and Problem Reports (ETD)
At present, it is evident that there is a shift from rural to an urban settlement which results in high demand for residential buildings and other urban infrastructure. Blue – Green Infrastructure (BGI) is a system of using blue (water) and green (nature) to address urban and environmental challenges. The purpose of this study is to evaluate the environmental, social, and economic benefits of blue-green infrastructure in an urbanized area in Pittsburgh, Pennsylvania, USA. The study involves the utilization of Geographic Information System (GIS) to determine water quality level resulting from nonpoint source pollution through acquiring elevation data; watershed; and …
Open Source Foundations For Spatial Decision Support Systems, Jochen Albrecht
Open Source Foundations For Spatial Decision Support Systems, Jochen Albrecht
Publications and Research
Spatial Decision Support Systems (SDSS) were a hot topic in the 1990s, when researchers tried to imbue GIS with additional decision support features. Successful practical developments such as HAZUS or CommunityViz have since been built, based on commercial desktop software and without much heed for theory other than what underlies their process models. Others, like UrbanSim, have been completely overhauled twice but without much external scrutiny. Both the practical and the theoretical foundations of decision support systems have developed considerably over the past 20 years. This article presents an overview of these developments and then looks at what corresponding tools …
Using Deep Learning To Forecast Spatiotemporal Crime Patterns, Shuzhan Fan
Using Deep Learning To Forecast Spatiotemporal Crime Patterns, Shuzhan Fan
LSU Doctoral Dissertations
The distributional patterns of crime occurrences are closely related to their spatial, temporal, and environmental contexts. It has been a hot topic for researchers and crime analysts to discover such complex relationships in order to forecast crime, both spatially and temporally. Many factors play a role in the occurrences of crimes. Conventional crime forecasting research has primarily relied on historical crime records and socioeconomic data, while ignoring the rich social media and other environmental context data. The large volume of data requires a more appropriate forecasting framework with the ability to take in massive multimodal data and possibly achieve better …
The Evacuation Of Phnom Penh During The Cambodian Genocide: Applying Spatial Video Geonarratives To The Study Of Genocide, James A. Tyner, Andrew Curtis, Sokvisal Kimsroy, Chhunly Chhay
The Evacuation Of Phnom Penh During The Cambodian Genocide: Applying Spatial Video Geonarratives To The Study Of Genocide, James A. Tyner, Andrew Curtis, Sokvisal Kimsroy, Chhunly Chhay
Genocide Studies and Prevention: An International Journal
On April 17, 1975 Khmer Rouge soldiers began the forcible evacuation of Phnom Penh, Cambodia’s capital city. The evacuation has been the subject of considerable debate surrounding the Cambodian genocide and remains a topic of prime importance toward the understanding of Khmer Rouge policy and practice. In this field note, we present a geographically-informed account of the evacuation in order to provide a more fine-grained analysis of Khmer Rouge practice. More specifically, employing spatial video geonarratives, we provide a systematic investigation of the evacuation, as retraced by six evacuees. In so doing we contribute also to the emergent use of …
Web-Based Archaeology And Collaborative Research, Fabrizio Galeazzi, Heather Richards-Rissetto
Web-Based Archaeology And Collaborative Research, Fabrizio Galeazzi, Heather Richards-Rissetto
Department of Anthropology: Faculty Publications
While digital technologies have been part of archaeology for more than fifty years, archaeologists still look for more efficient methodologies to integrate digital practices of fieldwork recording with data management, analysis, and ultimately interpretation.This Special Issue of the Journal of Field Archaeology gathers international scholars affiliated with universities, organizations, and commercial enterprises working in the field of Digital Archaeology. Our goal is to offer a discussion to the international academic community and practitioners. While the approach is interdisciplinary, our primary audience remains readers interested in web technology and collaborative platforms in archaeology
Finding Ft. Smith And Ft. Star In Smithland, Ky, Austin Valentine, Austin Valentine Jr.
Finding Ft. Smith And Ft. Star In Smithland, Ky, Austin Valentine, Austin Valentine Jr.
Student Scholarship & Creative Works
Through the utilization of Light Detection and Ranging data, one can compile 3-dimensional models that can be used to spot anomalies of historical interest. These anomalies, if recognizable by the trained eye, can then be used to geo-reference historic maps to gain a better understanding of historic sites as well as to reveal possible areas of interests or unknown features.
By using a 3-dimensional model compiled by LiDAR data, I was able to geo-reference a December 13th, 1861 map of the Civil War defenses for the town of Smithland, Kentucky. Through this process, I have been able to …
Scaling Effect Of Fused Aster-Modis Land Surface Temperature In An Urban Environment, Hua Liu, Qihao Weng
Scaling Effect Of Fused Aster-Modis Land Surface Temperature In An Urban Environment, Hua Liu, Qihao Weng
Political Science & Geography Faculty Publications
There is limited research in land surface temperatures (LST) simulation using image fusion techniques, especially studies addressing the downscaling effect of LST image fusion. LST simulation and associated downscaling effect can potentially benefit the thermal studies requiring both high spatial and temporal resolutions. This study simulated LSTs based on observed Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Terra Moderate Resolution Imaging Spectroradiometer (MODIS) LST imagery with Spatial and Temporal Adaptive Reflectance Fusion Model, and investigated the downscaling effect of LST image fusion at 15, 30, 60, 90, 120, 250, 500, and 1000 m spatial resolutions. The study …
A Comparative Analysis Of Non-Invasive Exploration Techniques Lidar Vs. Aerial Photography – Kincaid Mounds Archaeological Site, Austin Valentine, Austin Valentine Jr.
A Comparative Analysis Of Non-Invasive Exploration Techniques Lidar Vs. Aerial Photography – Kincaid Mounds Archaeological Site, Austin Valentine, Austin Valentine Jr.
Student Scholarship & Creative Works
KINCAID MOUNDS - A Comparative Analysis of Non-invasive Exploration Techniques is a journal of my efforts to conduct non-invasive site investigations at the Kincaid Mounds Archaeological site in Southern Illinois. Through the utilization of tools such as; drones, photography, satellite imaging, light distance and ranging, and powerful analysis software, I will demonstrate a number of useful techniques which one can utilize to conduct independent site investigations without disturbing a sites landscape or structural integrity. Thus, illustrating differences between those techniques and pointing out their strengths and weaknesses in their various applications.
During this journey, I will also venture into the …
Assessing Ppgis Usability And Its Relationship To Spatial Data Production: A Case Study, Timothy Michael Hitchins
Assessing Ppgis Usability And Its Relationship To Spatial Data Production: A Case Study, Timothy Michael Hitchins
Dissertations and Theses
Modern Geoweb-enabled PPGIS methodologies incorporate interactive map applications as the main driver for public engagement and data collection. However, little research explores exactly how the public interact with these applications to produce spatial data, a fact that contributes to criticisms of final data quality. Usability evaluation offers a solution for developing better PPGIS data production systems by identifying problems in the application interface for which the public engage. Drawing on a case study example of a PPGIS application developed to collect socio-spatial data from members of a random public, this paper addresses usability in a three-stage approach. First, controlled experimentation …
The Catalyst Effect Of Historic Preservation: A Spatial Analysis Of The Impact Of Historic District Designation On Housing Renovations In New York City, Ali R. Mostafa
Theses and Dissertations
The constraints on property use along with the economic merits of historic districts are critical points in the debate over preservation policies. Improving the existing housing stock is a substantial economic activity and a significant part of the nation’s overall construction industry. The purpose of this study is to present an empirical analysis of the relationship between historic district designation and renovation decisions. The results of the analysis found that historic preservation does not inhibit the renovation activity of single-family homeowners. However, contrary to the claims made by proponents, it does not give a powerful incentive for owners in undesignated …
Drone Photography Vs. Light Detection And Ranging (Lidar) Data - Which Source Is Best Utilized In 3-Dimensional Modeling Applications?, Austin Valentine
Drone Photography Vs. Light Detection And Ranging (Lidar) Data - Which Source Is Best Utilized In 3-Dimensional Modeling Applications?, Austin Valentine
Student Scholarship & Creative Works
Drone Photography vs. Light Detection and Ranging (LiDAR) Data — Which Source is Best Utilized in 3-Dimensional Modeling Applications? is an evaluation essay comparing the analysis and modeling of both drone photography and LiDAR data. This paper gives a brief introduction into my choice of utilization between these two techniques, both of which were applied to 3-dimensional modeling of the Kincaid Mounds Archaeological site in southern Illinois. Thus, illustrating some of the advantages and disadvantages associated with both methods.
African Savanna Vegetation Model, Christoffer Axelsson
African Savanna Vegetation Model, Christoffer Axelsson
Graduate Student Datasets and Models
The project aimed at creating a model that can simulate the effect of environmental factors on trees and grasses in an African savanna landscape. It enables simulating the growth of woody and herbaceous vegetation in an African savanna landscape, where the user can define the environmental conditions. Input to the model includes:
- Monthly precipitation
- Fire regime
- Grazing pressure
- Soil type
- Slope
- Attributes of the woody species, such as maximum crown size and sensitivity to light conditions, drought, and fire.
Using Digital Mapping Techniques To Rapidly Document Vulnerable Historical Landscapes In Coastal Louisiana: Holt Cemetery Case Study, Alahna Moore
LSU New Orleans Theses and Dissertations
This thesis outlines a technique for rapid documentation of historic sites in volatile cultural landscapes. Using Holt Cemetery as an exemplary case study, a workflow was developed incorporating RTK terrain survey, UAS aerial imagery, photogrammetry, GIS, and smartphone data collection in order to create a multifaceted database of the material and spatial conditions, as well as the patterns of use, that exist at the cemetery.
The purpose of this research is to create a framework for improving the speed of data creation and increasing the accessibility of information regarding threatened cultural resources. It is intended that these processes can be …
Assessment Of The Socio-Environmental Impacts Of The Urban Expansion Using Gis And Remote Sensing In The City Of Guayaquil, Ecuador., Erika P. Jimenez Rivera
Assessment Of The Socio-Environmental Impacts Of The Urban Expansion Using Gis And Remote Sensing In The City Of Guayaquil, Ecuador., Erika P. Jimenez Rivera
Theses and Dissertations
This thesis investigates the impacts of the urban expansion from 1990 to 2010 in Guayaquil, Ecuador using geospatial technologies. It incorporates census and land cover data to identify the social and environmental repercussions through Hot Spot Analysis, land cover classification, and Markov chains model.
Mapping Energy Access In Rural Tanzania: 2017 Summer Internship With The World Resources Institute, Naramena Mccray
Mapping Energy Access In Rural Tanzania: 2017 Summer Internship With The World Resources Institute, Naramena Mccray
Sustainability and Social Justice
This report details my 2017 summer internship experience; both the report and the internship being requirements of the GIS for Development and Environment Graduate Degree at Clark University. My internship was hosted by the World Resources Institute, an international non-profit organization in Washington D.C. As implied by my position title, “Energy Access-GIS Intern”, I spent the duration of my internship (14 weeks) applying my geospatial expertise to address the topic of energy access which is an issue effecting rural areas of many developing countries. I was given the responsibility of creating an interactive map application of Tanzania accessible by energy …
U.S. Fish And Wildlife Service Summer Fellowship: Gis Study Of Threatened And Endangered Species In Colorado, Jeanie Lai
U.S. Fish And Wildlife Service Summer Fellowship: Gis Study Of Threatened And Endangered Species In Colorado, Jeanie Lai
Sustainability and Social Justice
This report provides a detailed account of my fellowship experience with the U.S. Fish and Wildlife Service (USFWS) Region 6 Office in Lakewood, CO during the summer of 2017 made possible by the Student Conservation Association (SCA) sponsored by Directorate Fellows Program. The internship was completed in the Region 6’s Branch of Decision Support in Ecological Services under the direction of Spatial Ecologist John Guinotte. I was a GIS Technician tasked with work responsibilities involving listed threatened and endangered species relevant to the region. Those work responsibilities included refining spatial Area of Influence (AOI) ranges, updating databases, and creating a …
Assessing Land Deformation And Sea Encroachment In The Nile Delta, Egypt, Esayas Gebremichael
Assessing Land Deformation And Sea Encroachment In The Nile Delta, Egypt, Esayas Gebremichael
Research and Creative Activities Poster Day
Persistent scatterer interferometric analyses were conducted on a stack of 84 Envisat ASAR scenes spanning 7 years (2004 to 2010) over the entire Nile Delta of Egypt and surroundings to monitor the ongoing spatial and temporal land deformation, identify the factors controlling the deformation, and model the interplay between sea level rise and land subsidence to identify areas and populations threatened by sea encroachment by the end of the 21st century. Findings include: (1) general patterns of subsidence in the northern delta, near-steady (none) subsidence in the southern delta, separated by a previously mapped flexure zone undergoing uplift; (2) high …
Landsat Sentinel Registration Source Codes: Linux, Lin Yan, David P. Roy
Landsat Sentinel Registration Source Codes: Linux, Lin Yan, David P. Roy
Landsat Sentinel Registration Source Codes
- LSReg is open-source software (coded in C) for precise automatic registration of Landsat-8 (L8) Collection-1 and Sentinel-2 (S2) Level 1C products, including L8S2, S2S2 and L8L8.
- Version 2.0 is a Linux version. The main download includes the source codes and manual.The “Additional Files” include the test data and the outputs generated from the test data by LSReg 2.0.
- Major functionalities of the software:
- Flexibility in handling input/output images resolutions and spatial coverages.
- Image registration supporting translation, affine and 2nd order polynomial transformations.
- Classic implementation of least-squares matching (LSM) with up to 0.02 pixel matching accuracy on medium-spatial-resolution optical-wavelength remote …
Risk Perception In Small Island Developing States: A Case Study In The Commonwealth Of Dominica, Hannah Eboh
Risk Perception In Small Island Developing States: A Case Study In The Commonwealth Of Dominica, Hannah Eboh
Graduate Research Theses & Dissertations
Small Island Developing States (SIDS) face high vulnerability to natural hazards. Understanding risk perception in SIDS is an essential step towards reducing vulnerability on these at-risk island states. A case study in the Eastern Caribbean's Commonwealth of Dominica, which has a notable volcanic risk, is used to explore risk perception. Specifically, focus groups were conducted in 18 villages throughout Dominica where participants produced hand-colored maps to show where they believed volcanic risk existed on the island and shared their reasoning behind their maps.
Surveys were administered to all focus group participants to collect necessary socio-demographic information. Subsequently, participant’s hand-drawn maps …