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Articles 1 - 15 of 15
Full-Text Articles in Entire DC Network
Snow Distribution And Influence In Taylor Valley, Antarctica, Using Remote Sensing, Katherine Mcnulty, Peter Doran, Mark Salvatore, Suniti Karunatillake
Snow Distribution And Influence In Taylor Valley, Antarctica, Using Remote Sensing, Katherine Mcnulty, Peter Doran, Mark Salvatore, Suniti Karunatillake
LSU Master's Theses
The McMurdo Dry Valleys is the largest ice-free area in Antarctica, but seasonal snow covers the valley floors sporadically throughout the year. In this study, a model to estimate areal snow coverage from satellite imagery was created. An area-volume model was created to estimate the amount of snow water equivalent (SWE) from the snow area extracted from the imagery. Snow cover influences the total albedo, the hydrologic budget, and the soil moisture and soil temperature in Taylor Valley (TV). Quantifying snow precipitation in TV is challenging because snow redistributes with winds, sublimates, or melts within a short period. Previous estimates …
From Mapping Place To Mapping Space In Library Gis Work, Lena Denis
From Mapping Place To Mapping Space In Library Gis Work, Lena Denis
Journal of Critical Digital Librarianship
At many academic libraries, library workers run the teaching, general reference consultations, technical troubleshooting, and software and licensing maintenance in Geographic Information Systems (GIS) for their institutions. This is very much the case in the Data Services unit of Johns Hopkins University’s Sheridan Libraries, where staff receive requests for help with a wide variety of mapping projects every semester. Sometimes they are straightforward requests for technical assistance, but sometimes they underpin much deeper investigations into how to situate people and significant events through time and geographic settings. This article discusses these types of requests in the context of the philosophical …
Mapping Louisiana's Missing: Spatiotemporal Profiling Of Louisiana's Missing Persons- An Experimental Application Of Geographic Information Systems And Forensic Anthropology, Liam J. Johnson
LSU Master's Theses
The growing number of unresolved unidentified and missing persons cases in the United States is this nation’s ‘silent mass disaster’ (Ritters, 2007). In addition to contextualizing biocultural traits of these cases, forensic anthropologists are uniquely qualified to address this underrecognized humanitarian crisis due to their proven ability to bridge conflicting stakeholders in often complex sociopolitical environments and to create improved opportunities for community collaboration. This project explores local and state demographic trends of missing persons cases and how this information can be used to assist investigative agencies with their missing population, analyzes gaps in identification data, and selects optimal locations …
Essays On Sub-National Economic Growth: Evidence From A Global Sample, Dachao Ruan
Essays On Sub-National Economic Growth: Evidence From A Global Sample, Dachao Ruan
LSU Doctoral Dissertations
In this dissertation, I make three important contributions to the literature on regional economics. In Chapter 2, I construct a measure of early development, urban population density (urban population relative to total land area), that is novel to the growth literature, and apply GIS techniques to define and locate regions/cities and obtain geographic and historical measures across regions and cities. Chapter 3 investigates the persistence in sub-national development over the past 150 years. I find that regions that had a relatively higher urban population density in 1850 tend to be relatively more developed today. Geographic and climatic characteristics are significantly …
Object-Based Coastal Morphological Change Analysis Based On Lidar And Hurricane Events, Bedoor Adel Mohammad
Object-Based Coastal Morphological Change Analysis Based On Lidar And Hurricane Events, Bedoor Adel Mohammad
LSU Doctoral Dissertations
Storms are considered one of the rapid climatic events that have a dramatic impact on coastal morphology, hence they require further investigation and quantifying of coastal changes and responses. Light detection and ranging (LiDAR) is the most advanced technology to be widely used by researchers for coastal geomorphological studies. The purpose of this study is to apply an object-based approach using repeated LiDAR surveys to understand the short-term morphological changes that occurred on Santa Rosa Island, Florida after category 3 hurricanes Ivan (2004) and Dennis (2005), making it the first study to apply this method, as opposed to previous studies’ …
Identifying Local Transit Resources For Evacuation, Alaa Shams
Identifying Local Transit Resources For Evacuation, Alaa Shams
LSU Master's Theses
The objective of this thesis is to establish a GIS that can be used to identify local human-services and special-needs transit resources in Louisiana’s 20 coastal parishes. The intention is that the system be used to identify and then call upon local transit services to assist in the evacuation of an area during an emergency. ArcGIS Online was selected as the platform on which to establish the GIS for this purpose. Socio-economic and transit vehicle data were collected from a variety of official sources and loaded on to the ArcGIS Online portal at LSU. The development of the system is …
Teaching Climate Literacy Using Geospatial Tools, Steven L. Babcock
Teaching Climate Literacy Using Geospatial Tools, Steven L. Babcock
LSU Master's Theses
Antarctica is the world’s coldest, driest and windiest continent. It is a harsh environment that few people will ever see but it is a very important part of our Earth system. Over the past 34 million years the climate in Antarctica has deteriorated from one that supported lush vegetation to the conditions observed today. By studying this trend and the associated changes to ice and vegetation we can gain critical insight into climate changes taking place today. This thesis presents three pieces of curricula that will help students and the general public understand some of the research currently underway in …
Epidemiology And Molecular Characterization Of Human And Canine Hookworm, Ntombi B. Mudenda
Epidemiology And Molecular Characterization Of Human And Canine Hookworm, Ntombi B. Mudenda
LSU Doctoral Dissertations
Among the soil-transmitted helminths (STH), hookworms are a worldwide problem in both humans and animals. They cause non-specific gastrointestinal symptoms, and in young children and animals, they can cause stunting, malnutrition and anemia. Canine hookworms have significant zoonotic potential as a cause of cutaneous larvae migrans and eosinophilic enteritis in humans. To determine the ecological niche of human hookworm in Brazil, two risk models were developed based on the Growing Degree Day-Water Budget (GDD-WB) concept, one based on accumulation of monthly temperatures above a base temperature of 15oC and threshold WB value >0.4. The second was based on a ‘gradient …
A Discourse On Geospatial Technology Applications In Predictive Analytics And Evidence-Based Decision Support For Disaster Research And Management, Steven Matthew Ward
A Discourse On Geospatial Technology Applications In Predictive Analytics And Evidence-Based Decision Support For Disaster Research And Management, Steven Matthew Ward
LSU Doctoral Dissertations
Continued population growth and development in vulnerable locations across the world are creating a new geography of hazards and disasters. Increasing storm frequencies coupled with unrelenting efforts to control flooding through structural means will undoubtedly intensify the intersection between flood hazards and humans. Accordingly, the baseline capacity of places to prepare for and rebound from disaster events adequately is negatively impacted. Hurricane Katrina brought this reality to the forefront of disaster science and management in 2005. Concurrent with the increased awareness of evolving hazardscapes has been the identification of deficiencies in how components of disasters are studied and managed. The …
Developing A Geospatial Protocol For Coral Epizootiology, Jennifer Anne Lentz
Developing A Geospatial Protocol For Coral Epizootiology, Jennifer Anne Lentz
LSU Doctoral Dissertations
This dissertation explores how geographic information systems (GIS) and spatial statistics, specifically the techniques used to map, detect, and spatially analyze disease epidemics, could be used to advance our understanding of coral reef health. Given that different types of spatial analysis, as well as different parameter settings within each analysis, can produce noticeably different results, poor selection or improper use of a given technique would likely lead to inaccurate representations of the spatial distribution and false interpretations of the disease. For this reason, I performed a comprehensive review of the following types of exploratory spatial data analysis (ESDA): mapping and …
Mapping And Modeling Of Neglected Tropical Diseases In Brazil And Bolivia, Paula Mischler
Mapping And Modeling Of Neglected Tropical Diseases In Brazil And Bolivia, Paula Mischler
LSU Doctoral Dissertations
Accurately defining disease distributions and calculating disease risk is an important step in the control and prevention of diseases. This study used geographical information systems and remote sensing technologies within the MaxEnt ecological niche modeling program to create predictive risk maps for leprosy and Schistosomiasis in Brazil and Chagas disease in both Brazil and Bolivia. New disease cases were compiled for leprosy, Schistosomiasis, and Chagas disease from the Brazilian ministry of Health for 2001 to 2009 and the data was stratified to a 10,000 population for each municipality. Bolivian Chagas prevalence rates were calculated from 2007 to 2009 survey data. …
A Contour Tree Based Spatio-Temporal Data Model For Oceanographic Applications, Yuliang Chen
A Contour Tree Based Spatio-Temporal Data Model For Oceanographic Applications, Yuliang Chen
LSU Doctoral Dissertations
To present the spatio/temporal data from oceanographic modeling in GIS has been a challenging task due to the highly dynamic characteristic and complex pattern of variables, in relation to time and space. This dissertation focuses the research on spatio-temporal GIS data model applied to oceanographic model data, especially to homogeneous iso-surface data. The available spatio-temporal data models are carefully reviewed and characteristics in spatial and temporal issues from oceanographic model data are discussed in detail. As an important tool for data modeling, ontology is introduced to categorize oceanographic model data and further set up fundamental software components in the new …
An Evolutionary Model Of Parabolic Dune Development: Blowout To Mature Parabolic, Padre Island National Seashore, Texas, Winston Mckenna
An Evolutionary Model Of Parabolic Dune Development: Blowout To Mature Parabolic, Padre Island National Seashore, Texas, Winston Mckenna
LSU Master's Theses
The Texas barrier islands have been studied and well documented in relation to barrier island evolution and morphology (Leatherman, 1979; Morton, 1994; White and Weise, 1980). The detailed analysis and mapping of various dune types and systems that comprise Padre Island National Seashore, specifically parabolic dunes, is the focus of this research. Dune surveys and doqq’s, along with wind and weather records were used to develop an improved morphodynamic model for parabolic dunes. The wind records were provided by the Padre Island National Seashore, the National Data Climate Center, and the Texas Coastal Ocean Observation Network. Individual dune surveys were …
Delineating Hurricane Vulnerable Populations In Orleans Parish, Louisiana, Stephanie Pedro
Delineating Hurricane Vulnerable Populations In Orleans Parish, Louisiana, Stephanie Pedro
LSU Master's Theses
Since settlement first began, equality issues between different social classes have been evident in the location of where residents settled in New Orleans. This research seeks to answer the question: What socioeconomic indicators are prevalent in the areas most-at-risk to flooding which could inhabit populations least able to evacuate? I will use Census 2000 block group data from the socioeconomic sample data (SF3) collected in 2000, along with other economic and GIS data from the New Orleans region to statistically represent the distribution of risk by selecting indicators predicted to be in flood zones from a classification tree analysis. Then, …
Developing Risk Assessment Maps For Schistosoma Haematobium In Kenya Based On Climate Grids And Remotely Sensed Data, Kelsey Lee Mcnally
Developing Risk Assessment Maps For Schistosoma Haematobium In Kenya Based On Climate Grids And Remotely Sensed Data, Kelsey Lee Mcnally
LSU Master's Theses
It is important to be able to predict the potential spread of water borne diseases when building dams or redirecting rivers. This study was designed to test whether the use of a growing degree day (GDD) climate model and remotely sensed data (RS) within a geographic information system (GIS), could be used to predict both the distribution and severity of Schistosoma haematobium. Growing degree days are defined as the number of degrees centigrade over the minimum temperature required for development. The base temperature and the number of GDD required to complete one generation varies for each species. A monthly climate …