Geographic Information Sciences Commons^™

Understanding Tourism Dynamics Using Gis And Forecasting Model In Banswara District, Rajasthan, India, Viranch N. Dave, Mudit D. Mankad, Ami U. Rawal

Journal of Tourism Insights

Understanding the tourism dynamics of an area involves a rigorous literature review, interviewing the local people and experts, and visiting the sites. This also involves getting acquainted with the transport network of the area to know about the accessibility to the tourism destination, which ultimately helps in preparing a suitable plan for tourism development by creating tourist circuits. Forecasting tourism demand with the help of past data helps put a better picture in front of planners and administration so they can plan more efficiently. Thus, a proper understanding of tourism dynamics requires a holistic vision. The present study tried to …

An Agent-Based Modeling Approach To Spatial Accessibility, Alexander C. Michels, Shaowen Wang

I-GUIDE Forum

Place-based spatial accessibility represents the ability of populations within geographic units to access goods and services, and thus is an important indicator for sustainable development. Existing spatial accessibility models treat population as simply demand, calculating statistics or optimizing average cost for the population within each geographic unit, rather than modeling individual decisions. This paper proposes AgentAccess, a general-purpose Agent-Based Model (ABM) for spatial accessibility analysis. An ABM framework brings us closer to reality by simulating individual and imperfect decision-making. We introduce the model and compare its results against existing spatial accessibility models using a case study of hospital beds in …

Reducing Uncertainty In Sea-Level Rise Prediction: A Spatial-Variability-Aware Approach, Subhankar Ghosh, Shuai An, Arun Sharma, Jayant Gupta, Shashi Shekhar, Aneesh Subramanian

I-GUIDE Forum

Given multi-model ensemble climate projections, the goal is to accurately and reliably predict future sea-level rise while lowering the uncertainty. This problem is important because sea-level rise affects millions of people in coastal communities and beyond due to climate change's impacts on polar ice sheets and the ocean. This problem is challenging due to spatial variability and unknowns such as possible tipping points (e.g., collapse of Greenland or West Antarctic ice-shelf), climate feedback loops (e.g., clouds, permafrost thawing), future policy decisions, and human actions. Most existing climate modeling approaches use the same set of weights globally, during either regression or …

Analysis Of Normalized Difference Vegetation Index Change Of The West Bank, Palestine, Using Multitemporal Satellite Remote Sensing Data, Ahmed Ghodieh

An-Najah University Journal for Research - B (Humanities)

The West Bank is characterized by the diversity of its climate despite its small area. It includes four climatic regions:- a humid, semi-humid, arid, and semi-arid climate. This in turn affected the geographical distribution of vegetation cover seasonally and over the years. This study investigated changes in the West Bank, Palestine vegetation cover using multitemporal Landsat data. Four images were selected for this purpose – two corresponding to 2001 and the other two corresponding to 2021. Seasonal change of the Normalized Difference Vegetation Index (NDVI) was investigated for the acquired images. ArcGIS 10.8 software was used for image processing and …

Communicating Nature-Society Relationships In Coastal Louisiana: An Evaluation Of The Ecosystem Services Framework, Vanessa Van Heerden

LSU Doctoral Dissertations

The ecosystem services (ES) framework is a tool to communicate the value of natural environments to human well-being by monetizing services that natural environments provide to humans. The Louisiana Coastal Master Plan uses the ecosystem services provided by the Mississippi River Delta as rationale for why coastal Louisiana should be protected. Here, I am interested in determining how the ecosystem services framework is used to communicate nature-society relationships in coastal Louisiana. I conducted a meta-analysis and spatial analysis to understand the spatial relationships of ecosystem services in the wetlands of coastal Louisiana. I then conducted a survey of residents of …

Modeling The Impacts Of Sea Level Rise In Coastal Virginia At Multiple Scales, George Murray Mcleod Iv

OES Theses and Dissertations

Relative sea level is increasing along the Mid-Atlantic coast of the United States and the rate of relative sea level rise (ΔRSL) for Coastal Virginia is approximately double the rate of global sea level rise (ΔSLRG)(1). The potential impacts posed to communities by ΔRSL are best understood by examining the spatial relationship between the upper limits of ocean-connected waters and the geographic positioning of critical natural and societal assets. This research examines this problem at three spatial scales to quantify the impacts of ΔRSL and storm flooding events on (i) structural and transportation infrastructure for the tide-influenced coastal zone of …

Mapping, Modeling, And Predicting Extreme Flood Events With Cloud Computing, Dan Tian

LSU Doctoral Dissertations

Floods represent one of the most severe natural disasters worldwide. It is crucial to accurately assess flood hazards to mitigate the impact and enhance community resilience. This study focuses on three key components of flood hazard management, including (1) flood frequency estimation, (2) inundation delineation, and (3) flood susceptibility assessment. The first project presents a Bayesian Log-Pearson Type III model with Spatial Priors (BLP3-SP) that utilizes spatial regression priors to enhance the accuracy of flood frequency estimation for sites with limited data. The method is compared with two other algorithms with different priors. The results indicate that BLP3-SP performs the …

Tourism, Mapping, Retail And Recreational Trails: A Case Study Of Connectivity Between Trails And Adjacent Downtowns In Anniston, Alabama, Usa, Jennifer Green

Theses

This study examines the estimated increase in economic impact on a geography’s local economy by creating cross-marketing efforts between expanding an established outdoor recreation trail to a closely located city downtown commerce district. This research will analyze the resulting potential rise in sales/lodging tax revenues for that city by mapping the trail and downtown district, and cross-marketing the other to users of both or either venue. Potential increase in economic impact will be estimated utilizing IMPLAN methodology by assessing the economic impact on the local economy that a percentage range of increased spending resulting from this cross-marketing effort could generate.

Distribution Of Fire Incidents And Fire Fighting Services In Dki Jakarta Province, Muhammad Zakaria, Mangapul P. Tambunan, Hafid Setiadi

Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)

The rapid development of the city results in the risk of disasters, one of which is a fire disaster. Fire incidents have increased from time to time, this occurs in line with the continued increase in population and density of settlements. Fire can cause material loss or loss of life. Efforts to minimize fire disasters can be carried out by providing fire fighting service facilities whose numbers can reach all areas. The purpose of this study is to determine the distribution of fire incidents and to determine the distribution of fire services in DKI Jakarta Province. The type of research …

Comparison Result For The Prediction Accuracy Of Seawater Intrusion Based On Different Sample Sizes And Land Cover Characteristics Using Inverse Distance Weighting And Kriging, Ni Made Mega Melliana Suastini, Mochammad Firman Ghazali, Ananda Dermawan, Choirunnisa Salsabila, Lauditta Zahra, Mila Aulia

Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)

This study aims to determine seawater intrusion (SWI) based on sample sizes' contribution to land cover characteristics' accuracy using inverse distance weighting (IDW) and Kriging. The SWI is explained based on the extracted salt concentration from the dissolved soil. Here, this study used 24 samples of salt concentration, namely salinity samples collected by systematic random sampling and divided into two groups: ground control points (GCP) and independent checkpoints (ICP). Two interpolation methods, namely IDW and Kriging, are used to make a spatial prediction of the SWI, and their results are evaluated based on their accuracy by observing the root mean …

Estimating Solar Energy Production In Urban Areas For Electric Vehicles, Shaimaa Ahmed

Theses and Dissertations

Cities have a high potential for solar energy from PVs installed on buildings' rooftops. There is an increased demand for solar energy in cities to reduce the negative effect of climate change. The thesis investigates solar energy potential in urban areas. It tries to determine how to detect and identify available rooftop areas, how to calculate suitable ones after excluding the effects of the shade, and the estimated energy generated from PVs. Geographic Information Sciences (GIS) and Remote Sensing (RS) are used in solar city planning. The goal of this research is to assess available and suitable rooftops areas using …

Evaluating Behavioral Intention To Increase Classroom Geotechnology Usage Following Geoinquiry Implementation, Erika S. Klose

Theses, Dissertations and Capstones

As educational practices include foundational and cutting-edge preparation, the value of problem-based instruction employing industry-standard technologies increases. Geospatial technologies (GST), are a group of professional technologies, including GIS (Geographic Information Systems), used by industries to make informed decisions with spatial data. This study investigated educator behavioral intention to use GIS/GST in classroom practice, and the moderating effect, if any, of the GeoInquiry, a curricular resource. The UTAUT framework was employed to evaluate and quantify the factors impacting behavioral intention (performance expectancy, effort expectancy, social influence, and facilitating conditions). These data were examined to identify moderation by GeoInquiry usage. One hundred …

Developing A Standardized Gis Model Capable Of Identifying Areas To Implement Wind Power Generation Infrastructure, Namidu Vishwanath De Silva

All Graduate Theses, Dissertations, and Other Capstone Projects

This project involves the use of multi-source GIS data, suitability analysis, and spatial modeling techniques to identify the most suitable areas for improving renewable energy infrastructures, primarily focusing on wind energy, within a given region. Previous literature conducted on the subject matter shows research being done in isolated areas or states. The primary objective of this project is to develop a GIS model and scripting tool that has the capability to test any input region to find the most suitable area within the given region that would be ideal for implementing new wind power infrastructure. The success rate of the …

Exploring Inequality At Copan, Honduras: A 2d And 3d Geospatial Comparison Of Household Wealth, Heather Richards-Rissetto

Department of Anthropology: Faculty Publications

The archaeological site of Copan was a cultural and commercial crossroads at the southeastern Maya frontier. Research indicates that the demographics and sociopolitical circumstances of the city of Copan and its location within a circumscribed pocket (24 km²) of the larger Copan Valley varied through time. These circumstances not only influenced its social, political, and economic interactions, but likely the size, construction, and organization of households, specifically plazuelas. Copan’s plazuelas differ from those located in other Maya regions because they often have smaller house platforms, comprise more than a single patio, and exhibit a larger than normal …

Mapping Landcover Change And Population Displacement Of Lakshmipur District, Bangladesh Due To Riverbank Erosion From 2001-2021: A Geospatial Approach, Israt Jahan

College of Graduate Studies: Theses & Dissertations

Due to the geographical setting, the Lakshmipur district of Bangladesh experiences adverse effects of global climate change that include but are not limited to natural disasters such as tropical cyclones, storm surges, coastal flooding, and riverbank erosion. While riverbank erosion is an implicit impact of climate change, it directly affects human settlements, agricultural activity, and the overall livelihoods of people in this area. Examining the spatiotemporal changes in land cover and population due to riverbank erosion in this region could help us better understand the dynamics of human-environmental relations. This study aimed to classify land cover for every five years …

Delineating A Stream Network At Gale Crater, Mars, On Arcgis Pro: A Geographic Information Systems Approach, Elpidio Guzman De La Cruz

West Chester University Master’s Theses

The northwestern region of the Gale crater experienced flooding in the past. Delineation of stream networks for the northwestern region of Gale Crater, Mars employing geographic information systems (GIS) techniques is applied. The stream network produced by the algorithm in the study traverses the clay unit in Gediz Vallis, and visual HiRISE imagery analysis correlates with a topologic cross section of an inverted river channel of 750 meters wide and 90 meters deep. HiRISE imagery analysis further confirms a sulfate and clay stratigraphic unit in a stream 125 meters wide and 25 meters deep. Lastly, data smoothing procedures in the …

Disaster Risk Assessment In The Context Of Social Justice Using Geospatial Data Analytics, Behrang Bidadian

Graduate Theses, Dissertations, and Problem Reports (ETD)

Disaster Risk Assessment in the Context of Social Justice Using Geospatial Data Analytics

Behrang Bidadian

In recent decades, urban areas have witnessed a rise in floods which have posed a significant threat to human life and wealth, due to the effects of global warming. While researchers have conducted extensive studies on natural disaster risk focusing on components such as hazard, exposure, and vulnerability, certain aspects of this field have remained inadequately understood. To fulfill this need, the primary objective of this dissertation was to enhance our understanding of flood risk in urban areas, considering it a crucial example of natural …

Quantifying The Carbon Stored And Sequestered By The Trees On Pomona College’S Campus, Paola A. Giron-Carson

Scripps Senior Theses

We are experiencing a climate crisis that must be confronted with strategic mitigation. Pomona College contributes to the climate crisis through its emissions for which there is a baseline record. However there is no baseline record of the climate mitigation currently performed by the trees on Pomona’s campus through carbon storage. This study seeks to determine a current baseline quantity of carbon stored and sequestrated by Pomona’s trees as well as possible courses of climate mitigation for Pomona College to take. Initial information gathering was conducted through interviews with several stakeholders. This study was conducted using data collected prior to …

Using Extended Two-Step Floating Catchment Area To Map Children’S Level Of Access To Physical Books In West Virginia, Heather A. Maxey

Graduate Theses, Dissertations, and Problem Reports (ETD)

The state of West Virginia lacked a comprehensive, in-depth analysis of the availability of physical books across the state. Access to reading material is vital to a child’s educational development as well as lifelong learning beyond childhood. To guide policy decisions and planning for outreach which addresses reading levels and beyond, I mapped levels of access stemming from socioeconomic barriers, spatial barriers, and an integrated index of both types of barriers. To map spatial access, I utilized a modified Extended Two-Step Floating Catchment Area model, deriving techniques from Hong et al’s 2023 article addressing access for health care in WV. …

A Subspecies-Level Database Of Amazonian Bird Distributions, With Inferences On Suture Zones And Conservation, Marco Antonio Rego

LSU Doctoral Dissertations

Amazonia has the largest and most biodiverse tropical forest on the planet. However, the distributions of its species are still poorly understood, even for well-studied vertebrates such as birds. Available distribution maps for Amazonian birds often lack accuracy in delimiting the area where species occur. Existing distributional information for Amazonian birds is often limited to species-level level taxonomy, even though many Amazonian bird subspecies represent biological species. Here, I investigate the geographic distributions of 4,148 bird taxa (species and subspecies) using museum scientific specimens as the primary source of data. To build the data base I use more than 600,000 …

A Multi-Method Exploration Of Health Disparities And Covid-19 Incidence And Mortality In The United States, S M Asger Ali

Theses and Dissertations

The 21^st century experienced several health crises, especially in the form of infectious disease outbreaks such as the SARS outbreak in 2003, the H1N1 in 2009, and Ebola outbreaks in 2013. However, none has produced a worldwide socio-economic and health impact compared to the recent pandemic, known as COVID-19. As of October 4, 2022, more than 614 million cases with 6 million deaths have been reported worldwide. The United States is currently in the leading position with more than 98 million cases and 1 million deaths. The pandemic, however, did not impact the entire region similarly, and the infections …

Lidar Field Data Collection For 3d Cartography, Danny Jang

Symposium of Student Scholars

Remote sensing using LiDAR technology for terrestrial mapping can be done using airborne or ground-based methods. Ground-based methods of LiDAR scanning have the favorable advantage of being much more cost-effective compared to the majority of aerial choices (balloons and drones might overcome this advantage in the future) for small-area large-scale cartography. LiDAR data collection has been traditionally utilized for urban applications, forest applications, agricultural applications, and geoscience applications. This student research aims to use the data gathered from this process for crafting 3D maps using cost-effective 3D printers.

Species Data And Vector Modeling: Evaluating Datasets For Improved Models Of Ixodes Ricinus Tick Distribution In Europe Under A Changing Climate, Steven Jones

Electronic Theses and Dissertations

To increase capacity for monitoring and surveillance of tick-borne diseases, publicly available tick distribution and climate change datasets are required to create accurate predictive distribution models. It is difficult, however, to assess model accuracy and utility when using incomplete datasets.  The more recent development of comprehensive tick databases for Europe and availability of climate change scenarios from multiple IPCC Assessment Reports allows for improved modeling efforts. Multiple tick datasets were combined and three climate change projections were compared by predicting current and future distributions of Ixodes ricinus ticks in Europe using the MaxEnt species distribution model. Overall, much of Europe …

Estimation Of Economic Risk From Coastal Natural Hazards In Louisiana, Rubayet Bin Mostafiz

LSU Doctoral Dissertations

Louisiana, U.S.A., is among the most vulnerable areas globally to coastal natural hazards, with risk vulnerability likely increasing. The risks associated with non-tropical-cyclone hazards in Louisiana’s coastal zone have been understudied. This research enhances present and future (i.e., 2050) Louisiana risk assessment using locally-weighted, model-based hazard frequency/intensity and population projections.

Results suggest that property risks associated with extreme cold temperature and tornado are and will remain costlier than those for hail and lightning. Property risks of extreme cold temperature and hail are projected to decrease with the expected warming temperatures, with those of all four of these hazards peaking in …

Ancient Lowland Maya Neighborhoods: Average Nearest Neighbor Analysis And Kernel Density Models, Environments, And Urban Scale, Amy E. Thompson, John P. Walden, Adrian Z. Chase, Scott R. Hutson, Damien Marken, Bernadette Cap, Eric Fries, M. Rodrigo Guzman Piedrasanta, Timothy S. Hare, Sherman W. Horn Iii, George J. Micheletti, Shane M. Montgomery, Jessica Munson, Heather Richards-Rissetto, Kyle Shaw-Müller, Traci Ardren, Jaime J. Awe, M. Kathryn Brown, Michael Callaghan, Claire E. Ebert, Anabel Ford, Rafael A. Guerra, Julie A. Hoggarth, Brigitte Kovacevich, John M. Morris, Holley Moyes, Terry G. Powis, Jason Yaeger, Brett A. Houk, Keith M. Prufer, Arlen F. Chase, Diane Z. Chase

Department of Anthropology: Faculty Publications

Many humans live in large, complex political centers, composed of multi-scalar communities including neighborhoods and districts. Both today and in the past, neighborhoods form a fundamental part of cities and are defined by their spatial, architectural, and material elements. Neighborhoods existed in ancient centers of various scales, and multiple methods have been employed to identify ancient neighborhoods in archaeological contexts. However, the use of different methods for neighborhood identification within the same spatiotemporal setting results in challenges for comparisons within and between ancient societies. Here, we focus on using a single method—combining Average Nearest Neighbor (ANN) and Kernel Density (KD) …

Participatory Mapping To Address Neighborhood Level Data Deficiencies For Food Security Assessment In Southeastern Virginia, Usa, Nicole S. Hutton, George Mcleod, Thomas R. Allen, Christopher Davis, Alexander Garnand, Heather Richter, Prachi P. Chaven, Leslie Hoglund, Jill Comess, Matthew Herman, Brian Martin, Cynthia Romero

Political Science & Geography Faculty Publications

Background: Food is not equitably available. Deficiencies and generalizations limit national datasets, food security assessments, and interventions. Additional neighborhood level studies are needed to develop a scalable and transferable process to complement national and internationally comparative data sets with timely, granular, nuanced data. Participatory geographic information systems (PGIS) offer a means to address these issues by digitizing local knowledge.

Methods: The objectives of this study were two-fold: (i) identify granular locations missing from food source and risk datasets and (ii) examine the relation between the spatial, socio-economic, and agency contributors to food security. Twenty-nine subject matter experts from three cities …

Acid Mine Drainage In The Shamokin Creek Watershed: A Spatial Analysis Of Economic And Environmental Consequences Of Coal Mining, Ben Shimer

Student Project Reports

No abstract provided.

Expulsive Greening: A Cross-Sectional Analysis Of Green Gentrification In The Resilience Paradigm, Brooklyn 2010–2020, Rose Jimenez

Dissertations, Theses, and Capstone Projects

Background: This project analyzes the spatial coincidence between gentrification typologies and urban greening in Brooklyn, New York from 2010 to 2020. Assets formed under the NYC Green Infrastructure Program were chosen as a proxy for urban greening to represent the spatial practice specifically within the 21st-century climate change resilience paradigm of development. Methods: First, five indexes measuring variations of economic and demographic conditions related to gentrification were applied to Brooklyn for comparative analysis: NOAA’s Social Vulnerability Indicators of Gentrification Pressure, The NYC Heat Vulnerability Index, The Small Area Index of Gentrification, Typologies of Gentrification and Displacement, and The Housing Risk …

Gis Automated Delineation And Analysis Of Cancer Service Areas In The United States, Changzhen Wang

LSU Doctoral Dissertations

Delineating a meaningful and reliable geographic unit pertaining to cancer care is essential in examining geographic variations in cancer care for better analysis, management, and planning. Public health researchers have devoted great efforts to defining various service areas, which; however, lack scientific rigor or are unrepresentative of the highly specialized cancer care markets, and their methods have become obsolete in the era of big data and high geo-computation. This study develops the “Spatially Constrained Leiden (ScLeiden)” method, a network community detection algorithm in Geographic Information Systems (GIS), and applies it to delineate a series of coherent cancer service …

Differentiating Fissure-Fed Lava Flow Types And Facies Using Radar And Lidar: An Example From The 2014–2015 Holuhraun Lava Flow-Field, Gavin Douglas Tolometti, Catherine D. Neish, Christopher W. Hamilton, Gordon R. Osinski, Antero Kukko, Joana R.C. Voigt

Earth Sciences Publications

Distinguishing between lava types and facies using remote sensing data is important for interpreting the emplacement history of lava flow-fields on Earth and other planetary bodies. Lava facies typically include a mixture of lava types and record the collective emplacement history of material preserved at a particular location. We seek to determine if lava facies in the 2014–2015 Holuhraun lava flow-field are discernible using radar roughness analysis. Furthermore, we also seek to distinguish between lava types using high resolution Light Detection and Ranging (LiDAR) data. We extracted circular polarization ratios (CPR) from the Uninhabited Aerial Vehicle Synthetic Aperture Radar and …