Geographic Information Sciences Commons^™

Erosion Of Coastal Beaches And Dunes During The Highest Water Level On Record In Southern Maine, Usa (Data Files), Katelyn Dewater, Matthew Pittsley, Johanna Birchem, Ruth Ellis, Tyler Janik, Paige-Marie Merrill, William Kochtitzky

Geographic Information Systems Data Projects

Maine experienced its highest water level ever recorded on January 13, 2024, just two days after another winter storm with an even higher storm surge on a smaller tide. In this study, we aimed to quantify the impact of these storms along five shorelines in York County, Goose Rocks Beach in Kennebunkport, Fortunes Rocks, Middle, Biddeford Pool, and Hills, in Biddeford, and Camp Ellis, Ferry, and Bayview beaches in Saco. We used aerial and unoccupied aerial vehicle (UAV/drone) imagery to analyze the changes in area and volume of dunes and sand along the beaches before, after, and during recovery due …

Locational Data And The Public Interest, William A. Herbert, Micahel Goodchild, Richard Appelbaum, Jeremy Crampton, Gary Langham, Krzysztof Janowicz, Mei-Po Kwan, Katina Michael, Lisa Schamess

Publications and Research

This article presents a paper developed by the AAG Organizing Committee on Locational Information and the Public Interest through a summit held in Santa Barbara, California in June 2022. The summit resulted in goals and ideas for addressing the issues that arise from the present environment for geodata, whereby public, private, and third-sector entities can tap into publicly available locational information with relatively little regulation on its access or use. The Committee articulates four goals: (1) develop a research agenda extending across disciplines, (2) outline educational resources and strategies to guide ethical practice, (3) devise a pathway to increase public …

Integration Of Data Sets For Modelling Gender Violence And Perception Of Insecurity, Sandra Lucia Hernandez Zetina, Ana Belen Anquela Julian, Angel Esteban Martin Furones, Carlos Martinez Montes, Santos Fernandez Noguerol

Articles

The dataset offers a comprehensive information to analyse cities and neighbourhood that are potentially unsafe for women, this information has been collected for four cities: Toluca (Mexico), Valencia (Spain), Dublin (Ireland) and San Francisco (USA). The collection includes quantitative and qualitative variables obtained and processed from open data, georeferenced publications from a social media platform, and points located through participatory mapping sessions.

The data is structured in raw format, organized by country and city, and categorized according to the data source used while processing, which allows unrestricted access with most data analysis software and it does not depend on specific …

Virginia Heat Watch: Collaboration To Assess Climate Vulnerability At Local To Regional Scales, Todd R. Lookingbill, Karin P. Warren, J. Christopher Haley, Elizabeth G. Malcolm, Lisa Jordan Powell, Scott M. Starr, Srarah Melissa Witiak, Michael J. Wolyniak, Beth Zizzamia

Geography and the Environment Faculty Publications

Systematic studies of temperature using consistent, field-validated methods are needed to make inter- and intra-urban heat comparisons and to prioritize resources and mitigation strategies. This study investigated spatial patterns of heat hazard across 10 small- to medium- sized cities in Virginia, USA, using a community science approach. Air temperature data were collected on a high-heat day in July 2021, employing a network of 213 volunteers. Geolocated one-second temperature and humidity measurements were used to create and validate 10-m resolution temperature models for each locality. Results indicate substantial intra-urban temperature differentials even in the smallest localities, averaging 3.2 °C for …

Assessing Vegetation Changes And Ecosystem Impacts Of Invasive Species In Florida's Water Conservation Area 3a (2004–2024) Using Landsat Data, Gideon Tandoh

Research, Papers & Creative Work

The spread of invasive species is a concrete problem, threatening biodiversity, ecosystem integrity, and the functional status of wetlands. As these species continue to advance, it is crucial to assess their spread as well as management success through the more sophisticated invasive monitoring methodologies. This research examines the change in vegetation communities and the spread of invasive plants in the Water Conservation Area 3A (WCA-3A) using Object-Based Image Analysis (OBIA) and Support Vector Machine (SVM) classifiers on time series Landsat images. Unlike traditional pixel-based methods, OBIA enhances classification accuracy by incorporating spatial, spectral, and contextual information, enabling precise differentiation between …

Towards The Next Generation Of Geospatial Artificial Intelligence, Gengchen Mai, Yiqun Xie, Xiaowei Jia, Ni Lao, Jinmeng Rao, Qing Zhu, Zeping Liu, Yao-Yi Chiang, Jiao, Junfeng

Research Collection College of Integrative Studies

Geospatial Artificial Intelligence (GeoAI), as the integration of geospatial studies and AI, has become one of the fastest-developing research directions in spatial data science and geography. This rapid change in the field calls for a deeper understanding of the recent developments and envision where the field is going in the near future. In this work, we provide a quantitative analysis of the GeoAI literature from the spatial, temporal, and semantic aspects. We briefly discuss the history of AI and GeoAI by highlighting some pioneering work. Then we discuss the current landscape of GeoAI by selecting five representative subdomains including remote …

An Analysis Of Green Water Footprint In Java Island Using The Cropwat Model, Emilya Nurjani, Anggun Nur Zahwa, Husnul Khotimah Setiacahyandari, Rofiana Budi Ayumi Sita Dewi, Isna Pujiastuti

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

Every human activity requires water, so if the water needs cannot be met from the natural availability of the region itself, then the water needs must be met from other regions. This concept is the basis for calculating virtual water flow and water footprint. Inequality or imbalance between the availability and demand for water in an area will make water a scarce commodity. From an economic point of view, it will become an economic good. This study aims to analyze agricultural water needs and the green water footprint in each region of Java Island. Calculate crop water requirements for the …

Gis-Based Student Geographic Data Mapping: Islamic University Strategy For Incoming Students, Hasna Tuddar Putri, Laiyina Ukhti, Mahdi Mahdi, Yuli Damayanti

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

IAIN Lhokseumawe is one of the Islamic universities in Aceh that is situated in a location conducive to attracting more students. Nevertheless, this has kept the number of students enrolling at IAIN Lhokseumawe. Over the past five years, the number of students at IAIN Lhokseumawe has fluctuated. The data indicate a need for more linearity in the fan and subscriber trends. Following the implementation of the promotional strategy, the outcome remained unchanged. Consequently, IAIN Lhokseumawe must re-examine the rationale behind student decision-making processes when selecting educational institutions. This approach will allow IAIN Lhokseumawe to develop innovative strategies to increase student …

Analysis Of Knowledge, Utilization, And Technology Adoption Of Digital Learning Resource By Geography Teachers In Sragen And Karanganyar, Indonesia, Wahyu Widiyatmoko, Ratih Puspita Dewi, Siti Azizah Susilawati, Muhammad Musiyam, Devi Nurhalimah, Muslihah Juwita Hapsari, Dias Aziz Pramudita

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

Digital competence is essential for all teachers, including geography teachers. This research aims to analyze the knowledge, utilization, and level of technology adoption of digital learning resources among geography teachers in Sragen and Karanganyar. This study is quantitative research with a survey design. The population of this study consists of all geography teachers in Sragen and Karanganyar, totaling 65 teachers, and this population is used as the sample. The variables used in this research are the level of knowledge, utilisation, and adoption of digital learning resources for teaching GIS material. Data collection was carried out using questionnaires completed by respondents …

Student’S Disaster Preparedness Of Merapi Volcano, Indonesia Using Learning Simulation Virtual Reality (Lsvr) Model, Andi Irwan Benardi, Sumarmi Sumarmi, Syamsul Bachri, Erni Suharini, Atta Ur Rahman, Sriyono Sriyono, Saiful Amin, Joshua Vincent Gerar Yametis

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

This study evaluates the effectiveness of the Learning Simulation Virtual Reality (LSVR) model in enhancing disaster preparedness for Merapi Volcano and examines the relationship between disaster preparedness and student learning outcomes. Conducted with 120 students from two senior high schools located in disaster-prone areas near Merapi Volcano in Sleman Regency, Yogyakarta Province, Indonesia, the research employed a quasi-experimental design with a pretest-posttest control group setup. Essay-based assessments measured learning outcomes, while surveys gauged disaster preparedness levels. The analysis utilized an independent sample t-test and descriptive statistics, revealing the LSVR model’s strengths in delivering innovative and effective content, appealing design, and …

Analysis Of Erosion Rates In North Jakarta For Predicting The Ages Of North Sunter And Pluit Reservoirs, Listyo Yudha Irawan, Ghairandi Al Abrar, Mohammad Tahir B Mapa, Adi Jafar, Shafi Noor Islam, Siti Nur Farihah, Febrian Eka Ardiansyah

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

The Pluit and North Sunter Reservoirs play a critical role in the city’s hydrological infrastructure, particularly in meeting the increasing water demands driven by population growth. However, continuous population shifts, deforestation, and changes in land use have led to sediment accumulation, affecting both water quality and the reservoirs’ operational lifespan. This study aims to evaluate the erosion rate and predict the potential lifespans of the Sunter Utara and Pluit Reservoirs. This research was conducted by integrating Geographic Information Systems and remote sensing using Sentinel-2 datasets and the Universal Soil Loss Equation (USLE) method to calculate sediment accumulation. The findings indicate …

The Role Of Visual Analytics In Remote Sensing Spatial Data Interpretation, Iswari Nur Hidayati, R Suharyadi, Andhika Wisnu Pratama, Herdiansyah Herdiansyah

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

In remote sensing spatial data analysis, various methods are used to understand and evaluate the information obtained. The approach used so far is remote sensing visual analysis which offers various advantages compared to other methods. Visual analysis utilizes visualization techniques to facilitate the identification and interpolation of highly complex patterns of presented spatial data. The main advantage of this analysis is that it presents information that is easy to understand with an approach to spatial data interpretation elements. Another advantage of visual analysis is that it presents intuitive data that allows it to be analyzed quickly, observing relationships and changes …

Groundwater Conservation Zone Model To Support Sustainable Tourism In Coastal Areas: A Case Study In Parangtritis Village, Yogyakarta, Indonesia, Sadewa Purba Sejati, Rivi Neritarani, Mohd Hairy Ibrahim

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

This study aims to determine the environmental characteristics in coastal areas and determine the groundwater conservation zone model in coastal regions. The research was conducted in Parangtritis Village, Bantul Regency, Yogyakarta. The data includes aquifer types, aeration zone materials, and groundwater depth. The data was processed and analysed using Arc GIS Pro software version 2.5. The data were processed by plotting and spatial interpolation techniques to produce thematic maps of environmental characteristics, namely aquifer-type maps, aeration zone material maps, groundwater depth maps, and land use maps. The thematic maps that have been generated are then classified and scored. The classification …

Geospatial Machine Learning Approaches For Studying Urbanization Impact, Surface Reflectance Patterns, And Groundwater Health Risks, Bibhash Nath

Theses and Dissertations

Geospatial machine learning techniques have been used to study: the impact of urbanization on land use and land cover change, surface reflectance patterns in boreal regions, and groundwater health risks from arsenic in India. These studies combined spatial data, remote sensing, and predictive models to gain valuable insights for sustainable living and protecting human health.

Using Spatial Network Analysis To Explore Migration Of Extended Families In Historical Research, Rock Miller

Theses and Dissertations

This project proposes a geoinformatics approach for understanding the migration of extended families in historical contexts. It uses full-count longitudinal census data (developed by the Minnesota Population Center) and graph methods to define multi-generational extended family relationships and to model the locational structures of these families as a spatial network. Graph algorithms and mapping methods are used to interrogate these structures as reflections of the patterns of family outmigration and extension over time. The study is based on a set of extended families resident in a 15-county study area in the Bluegrass region of Kentucky in 1870, and their evolution …

Forest Above-Ground Biomass Estimation Using Nasa Gedi Lidar Waveforms And Global Tree Allometry, Ian Grant

Theses and Dissertations

Above-ground forest biomass plays a crucial role in global carbon cycles, yet accurately estimating biomass at global scales remains challenging. This thesis addresses two key challenges in processing NASA’s Global Ecosystem Dynamics Investigation (GEDI) space-borne lidar data to estimate above-ground biomass density (AGBD): accounting for global variation in forest structure and developing robust physical interpretations of lidar returns. The first component of the thesis analyzes global patterns of tree allometry using the Tallo tree allometry dataset, examining relationships between tree dimensions across biomes, continents, and plant functional types. This analysis reveals consistent allometry across continents for some biomes (e.g., tropical …

Changes In Small Area Flow Accumulation And Watershed Creation In Fredericksburg, Virginia, Jacob P. Lohr

Research and Creativity Symposium

This study explores the application of watershed analysis tools—including the Flow Accumulation, Flow Direction, and Fill tools—on small-scale areas within the rapidly developing City of Fredericksburg. By applying these GIS tools to high-resolution LiDAR-derived Digital Elevation Models (DEMs), the study examines water flow patterns before and after urban development. Results from two primary study sites demonstrate that, when properly utilized, these tools can effectively delineate small-scale hydrological changes from urban development. However, analysis of a third site reveals challenges associated with DEM cleaning. Particularly, the limitations of the Fill tool, highlighting the need for manual editing and further refinement for …

Unlocking Organizational Potential For Gis Collaboration In Higher Education, Charidy Paige

CGU Theses & Dissertations

Hardware, performance, and complex interface issues are just a few barriers that Geographic Information Systems (GIS) instructors must overcome when collaborative efforts extend beyond their classrooms. As GIS technologies evolve, instructors must adapt quickly to new tools and methods to maintain effective collaboration and ensure students achieve positive learning outcomes. Successful cooperation between departments, institutions, and other organizations requires preparation and sustainability throughout the semester to foster meaningful partnerships and support institutional goals. This dissertation applies the Resource Dependency Theory (RDT) to identify and define the challenges faced by GIS instructors, examining how they navigate these barriers by leveraging internal …

Predictive Analysis Of Arizona Dust Storms (1996–2023): Gis, Artificial Intelligence (Maxent), And Spatiotemporal Data, Soheil Bouzari

CGU Theses & Dissertations

This dissertation looks at how well Maximum Entropy (MaxEnt) model can predict duststorms in Arizona, United States. MaxEnt is a machine learning tool that was first developed to predict where different species might live. MaxEnt uses presence-only data which makes it especially useful in environments where reliable absence data is hard to find or unavailable. This study analyzes if the combination of MaxEnt within Geographic Information Systems (ArgGIS Pro) and spatiotemporal data can provide data-driven and reliable predictions of dust storms susceptibility in Arizona. The framework that was used for this study is Design Science Research because of its problem-solving …

Spatial Implications Of Potential Treeline Campfire Restrictions In Selected Usfs-Managed Colorado Wildernesses, Rebecca Hippensteel

Masters Projects

High-elevation ecosystems in Colorado’s Wilderness areas are ecologically sensitive and particularly vulnerable to campfire impacts, which can damage vegetation, alter soil chemistry, and degrade wilderness character. This study presents a preliminary proof of concept evaluating the spatial implications of banning campfires at or above 11,000 feet—used here as a proxy for treeline—in twelve U.S. Forest Service-managed Wilderness areas. Using 30-meter resolution Digital Elevation Models from the USGS National Map and Earth Explorer, a raster-based analysis in ArcGIS Pro identified and quantified acreage above 11,000 feet. Across the twelve Wilderness areas, 268,601 acres were found to lie above treeline, representing an …

Evaluating Spatiotemporal Vegetation Index Variation To Detect Salt Marsh Dieback On The Georgia Coast, Emmanuella Bosompemaa Obeng

College of Graduate Studies: Theses & Dissertations

Salt marshes, essential for coastal protection and carbon sequestration, are increasingly vulnerable to dieback events, threatening ecosystem resilience and vital services. Detecting these shifts early is essential for timely intervention. However, few studies have applied Early Warning Signals (EWS) to coastal marsh systems. Most EWS research has focused on lakes, forests, or climate tipping points, with limited application to salt marsh dieback in the southeastern U.S. Site-specific, long-term spatial analyses are also lacking, as prior work often examines short time frames or single disturbance events. This study investigates the spatiotemporal patterns of salt marsh dieback on the Georgia coast from …

Wildlife Distribution Mapping And Analysis In Gorongosa National Park, Mozambique, Using Site And Satellite Imagery Data, Pinho Joaquim Munhequeira Mr

Murray State Theses and Dissertations

One of Mozambique's most important conservation sites, Gorongosa National Park has seen critical ecological changes over the past several decades resulting from climate variability, habitat loss, and political instability. This research integrates Geographic Information Systems (GIS) and remote sensing to examine the relationship between vegetation dynamics and wildlife population, and distribution. The main goals of this study are to evaluate the spatial distribution of particular wildlife species: buffalo (Syncerus caffer), elephant (Loxodonta africana), hippopotamus (Hippopotamus amphibius), and zebra (Equus quagga), and determine the impact of vegetation density and land cover on their …

Evaluating Uas & Als Lidar’S Ability To Detect Understory Shrubs In Rhode Island Forests, Noah Henkenius

Open Access Master's Theses

Understory shrubs provide important habitat for wildlife and assist with nutrient cycling in forests. The use of remote sensing to map shrubs in forest understories is challenging due to the obscuring effect of the forest overstory. We tested the effectiveness of leaf-off aerial LiDAR and uncrewed aerial system (UAS) (point densities of 8+ pts/m² and 250+ pts/m², respectively) to map shrub cover in a mixed deciduous forest in Rhode Island (USA). We used a terrestrial laser scanner (TLS) and field vegetation surveys to provide validation data. We found that UAS and aerial LiDAR had average omission errors …

Spatializing The Tax Code: Using Property Records To Locate The Fiscal Face Of Rentiership, Michael J. Mccanless

Theses and Dissertations--Geography

This dissertation analyzes how the tax code shapes housing financialization in mid-sized US cities. Employing a mixed-methods approach that integrates critical computational analysis with qualitative fieldwork in Memphis, I examine the role of public rent-seeking in shaping housing financialization in U.S. cities. The first article analyzes the property tax appeal strategies of corporate landlords and their implications for public revenues and municipal budgets. The second article explores how the IRS 1031 exchange provision—which allows for capital gains deferrals when the proceeds of a property sale are reinvested in a ‘like-kind’ property—facilitates the movement of capital from high-cost coastal markets into …

Making Slums Legible, Visible And Calculable: Geospatial Technologies And The Governance Of Urban Land In Mumbai, Sanjana Krishnan

Theses and Dissertations--Geography

This dissertation examines how geospatial technologies are used to make slums in Mumbai legible, calculable, and hypervisible, and how these practices reshape urban land governance. It situates mapping, remote sensing, and algorithmic systems within their political-economic contexts, showing how technologies intending to see the city often function as instruments of dispossession. The research has three interconnected empirical chapters. The first empirical chapter traces the history of slum mapping in Mumbai, from their absences in early development plans to their selective hypervisibility under the contemporary governance regimes. Using critical cartographic methods, it highlights how novel technologies such as remote sensing, biometric …

Map Marker Accuracy: Evaluating Spatial Data Quality In A Simplified Mapping Survey, Christopher Sean Ghormley

Masters in GIS Practicum Reports

Collecting spatial information using maps is a recurring need in research and policy (Evers, 2020; Gottwald et al., 2016; Hitchins, 2018; Tang & Liu, 2016). Survey participants frequently abandon map-based surveys at the first mapping task (Poplin, 2015). In his survey of wildfire risk management personnel, Evers (2020) applied a simplified web-mapping interface that uses circles as the sole input geometry for all spatial representations. The current project examines an updated version of this web map. An anonymous survey gathered data from participants who completed six mapping exercises within Portland, Oregon, and provided feedback on the survey experience. A working …

Impacts Of Southern Pine Beetle (Dendroctonus Frontalis Zimmerman) On Loblolly Pine (Pinus Taeda L.) Canopy And Water Use In The Homochitto National Forest, Mississippi, Usa, Sasha Goodnow, Yun Yang, Hui Liu, Ashley Schulz

Endeavors: Mississippi State Undergraduate Research Journal

Abiotic and biotic forest disturbances can have many impacts to forest ecosystem services, including to forest water use. Studies on impacts to forest evapotranspiration have been conducted on the mountain pine beetle (Dendroctonus ponderosae) in western North America, but not on the southern pine beetle (Dendroctonus frontalis), which is a native pest of loblolly pine (Pinus taeda) and shortleaf pine (Pinus echinata), in the southeastern United States. Stressed pine trees produce pheromones that attract southern pine beetles and, with enough stressed trees, beetle populations can quickly grow to epidemic levels and attack healthy trees, which results in widespread tree mortality. …

Assessing High-Speed Rail (Hsr) Policy And Politics In Washington State: Avoiding The Mistakes Of The Past, Landen K. Hashimura

All Master's Theses

While international standard high-speed rail (HSR) has yet to be successfully completed in the US, there is a national interest in the topic, as evidenced by recent federal initiatives to research HSR across various corridors. The Cascadia Corridor has been identified as a region with high potential for HSR, leading to an ongoing study in the State of Washington. Given the tumultuous history of American HSR development, the Cascadia HSR initiative needs to avoid the mistakes of the past. Two major contributing factors to this failure to build HSR are uneven political support for HSR and poor policy frameworks. Despite …

Modeling Recreational Risk Factors On The Landscape: A Predictive Gis Analysis Of Recreation Accident Response Near North Bend, Washington., Naomi S.J. Van Roon

All Master's Theses

Search and Rescue (SAR) teams in Washington respond to approximately 900 incidents annually, many stemming from outdoor recreation near Interstate 90 surrounding North Bend. This study utilized predictive GIS analysis to identify areas of concern within state lands, including Mount Si and Middle Fork Snoqualmie Natural Resource Conservation Areas, Raging River State Forest, and Rattlesnake Mountain Scenic Area. The predictive model was calibrated using SAR responses to hiking-related incidents between March and November from 2020 to 2023, and incorporated an analysis of risk factors influencing recreationalist incident probability. This research then developed a decision support system to aid land managers …

The Role Of Remote Sensing And Gis Techniques In Analysis Of Southern California Wildfires In January 2025, Sara Fitzgibbon

Dissertations, Master's Theses and Master's Reports

California is no stranger to wildfires, with them becoming more frequent and larger in recent years. In early January 2025, Southern California had one of the worst outbreaks of wildfires in its history, with the Pacific Palisades and Eaton Fires being considered among the most destructive in state history. To help prevent this from happening in the future, remote sensing techniques are essential in combating these issues. In this report, geographic information systems (GIS) and remote sensing data utilized to explore fire behavior by various organizations were investigated. By using this data, this study aims to predict and monitor fire …