Map Marker Accuracy: Evaluating Spatial Data Quality In A Simplified Mapping Survey,
2025
Portland State University
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 …
Wildlife Distribution Mapping And Analysis In Gorongosa National Park, Mozambique, Using Site And Satellite Imagery Data,
2025
Murray State University
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 …
Using Gis To Visualize Daily Routines At The Neighborhood And Household Scales: A Feminist Approach Using A Nineteenth-Century Diary,
2024
Central Washington University
Using Gis To Visualize Daily Routines At The Neighborhood And Household Scales: A Feminist Approach Using A Nineteenth-Century Diary, Sterling D. Quinn
Journal of Feminist Scholarship
Feminist scholars in the discipline of geography have noted the ways that routine activities at the household and neighborhood scales contribute to power relations and identity formation. Geographic information systems (GIS), with their ability to create multiple visual representations of people’s experiences in space at any scale, hold great potential for revealing these local processes and patterns that are often lost or invisible in broader historical narratives, especially when they pertain to women and children. This article contributes an example by using GIS to encode and map everyday events in a diary kept by Elisabeth Koren, a nineteenth-century Norwegian immigrant …
Performance Of Acoustic Telemetry And Space Use Of Pallid Sturgeon In The Lower Platte River, Nebraska,
2024
University of Nebraska-Lincoln
Performance Of Acoustic Telemetry And Space Use Of Pallid Sturgeon In The Lower Platte River, Nebraska, Christopher F. Pullano
School of Natural Resources: Dissertations, Theses, and Student Research
Pallid Sturgeon (Scaphirhynchus albus) are centenarian, potamodromous, rheophiles that historically occupied the Missouri River and Mississippi River basins. Listed on the U.S. Endangered Species Act in 1990, population declines are attributed to habitat fragmentation and degradation, as well as overharvest, and hybridization. A knowledge gap exists regarding the extent to which tributaries facilitate key life stages for Pallid Sturgeon. This study evaluated the capacity of acoustic telemetry to monitor the movements of Pallid Sturgeon in a shallow, braided tributary to the Missouri River. The specific objectives were to (1) evaluate the environmental variables influencing the performance of acoustic …
Mapping Amis Mill In Rogersville, Tennessee In The 1780s Using Geophysical Methods And Remote Sensing,
2024
East Tennessee State University
Mapping Amis Mill In Rogersville, Tennessee In The 1780s Using Geophysical Methods And Remote Sensing, Amy Collins
Electronic Theses and Dissertations
Geophysics and remote sensing were used at the Amis Mill and Homesite to determine the location of structures during the 1780s. Areas of interest were surveyed using shallow geophysical and remote sensing techniques including the orchard, horse pasture, original kitchen on the east side of the house, the west side of the house, plowed field, store site, and cemetery. After analyzing the results of the geophysical surveys and remote sensing, 22 sites were chosen to test inside and outside potential features. A large rectangular feature, possibly a tavern with a cellar, was discovered. Four other features were identified, three of …
Foster Care, Substance Use, And Social Determinants Of Health In South Carolina: A Geographic Approach,
2024
Clemson University
Foster Care, Substance Use, And Social Determinants Of Health In South Carolina: A Geographic Approach, Patricia Carbajales-Dale
All Dissertations
Foster care is a critical intervention for vulnerable children, with approximately 400,000 children entering the system annually in the United States. Parental substance use, second only to neglect, is now a leading cause of foster care entry. While previous research has explored the relationship between socioeconomic factors and foster care, few studies have incorporated spatial approaches at the neighborhood level to understand how factors such as economic inequality, healthcare disparities, and substance use influence foster care entries. This study addresses that gap by integrating spatial analysis and machine learning techniques to examine the geographic and social dynamics underlying foster care …
Impact Of Weather Systems On Uav Parameters Using Computational Fluid Dynamics,
2024
Department of Atmospheric Sciences, College of Science, Mustansiriyah University, Baghdad, Iraq
Impact Of Weather Systems On Uav Parameters Using Computational Fluid Dynamics, Saif Aljuhaishi, Yaseen K. Al-Timimi, Basim I. Wahab
Karbala International Journal of Modern Science
Since drones cannot fly in any kind of weather, they are not safe for time-sensitive activities. The study examines how the passage of weather systems in Iraq leads to the ban on drone flights, and how these weather conditions impact the aerodynamic forces of the drone. Hourly climate data for the study area were obtained from ECMWF ERA5 and CAMS in NetCDF format for four climate stations (Erbil, Baghdad, Rutbah, and Basrah). A ScanEagle drone was chosen for this study. The Python programming language was used to perform mathematical operations to calculate the ban on drone flights. ArcGIS 10.8 was …
Measuring Integrated Accessibility For Sustainable Mobility: A Fuzzy Set Approach Case Study,
2024
Rowan University
Measuring Integrated Accessibility For Sustainable Mobility: A Fuzzy Set Approach Case Study, Behnam Tahmasbi, Poria Hajian, Farzaneh Tahmasbi, Qian He
School of Earth & Environment Departmental Research
Sustainable transportation is vital to climate justice and social equity. Despite the efforts to achieve sustainability, there is still a lack of adequate measurement that integrates land use and transportation systems, which can be barriers to planning implementation. With methodological improvements in fuzzy theory application, this study develops an integrated index to measure the sustainability of multimodal accessibility. We do so by defining a fuzziness degree based on the different trip purposes and modes of transportation with a case study in Isfahan, Iran. Sustainable accessibility indicators were developed for walking, biking, and public transportation to represent the performance of each …
Imagine Lagos : Mapping History, Place, And Politics In A Nineteenth-Century African City,
2024
Ohio University
Imagine Lagos : Mapping History, Place, And Politics In A Nineteenth-Century African City, Ademide Adelusi-Adeluyi
Ohio University Press Open Access Books
Written from a digital humanities perspective, this book combines historical sources, maps, and a walking cartography to create new perspectives on the nineteenth-century history of Lagos, West Africa’s most populous city.
What traces do people leave in the places where they live, and even where they die? This book addresses the spatial history of nineteenth-century Lagos, rebuilding its past as a series of encounters: between men and women, between past and present, between enslaved and free, between living and dead, and finally between land and lagoon. In Imagine Lagos, Ademide Adelusi-Adeluyi argues that the invention, destruction, and reinvention of spatial …
From Data To Application: Harnessing Big Spatial Data And Spatially Explicit Machine Learning Model For Landslide Susceptibility Prediction And Mapping,
2024
Singapore Management University
From Data To Application: Harnessing Big Spatial Data And Spatially Explicit Machine Learning Model For Landslide Susceptibility Prediction And Mapping, Min Naing Khant, Mei Yi Victoria Grace Ann, Tin Seong Kam
Research Collection School Of Computing and Information Systems
Recent advancements in information and communication technology have significantly enhanced access to extensive geospatial data, presenting a valuable opportunity to leverage big spatial data for improved modeling and predictive capabilities in natural disaster risk assessment. This paper explores the integration of a comprehensive dataset comprising historical landslide events and various geo-environmental variables within a spatially explicit machine learning framework. The study empirically demonstrates that incorporating big spatial data allows a more nuanced understanding of local variations and spatial dependencies. Ultimately, this empirical assessment produces more accurate landslide risk predictions than traditional baseline models. Using Italy’s expansive Valtellina Valley as a …
Explainable Artificial Intelligence To Interpret Spatially-Explicit Impacts Of Future Climate Change On Species Distribution,
2024
University of California, Santa Barbara
Explainable Artificial Intelligence To Interpret Spatially-Explicit Impacts Of Future Climate Change On Species Distribution, Lei Song, Amy E. Frazier, Peter Kedron, Diogo S. A. Araujo, Diyang Cui, Brian J. Enquist, Brian Maitner, Cory Merow, Gabriel M. Moulatlet, Efthymios I. Nikolopoulos, Patrick R. Roehrdanz
I-GUIDE Forum
Biodiversity is essential for maintaining ecosystem balance and functionality, providing vital services such as climate regulation. The rapid decline in biodiversity, driven by habitat loss, habitat fragmentation, and climate change, poses significant threats to ecosystems. Climate change, in particular, is fundamentally altering habitats, leading to shifts in species distributions. However, existing research often lacks decomposed contribution analyses, particularly spatially, for a changing individual environmental attributes when modeling species distribution as an aggregate result of all factors and their interactions. Such analyses are crucial for identifying climate refugia and prioritizing conservation efforts. Taking endangered mammal species as an example, this study …
Statistical Downscaling Of Climate Datasets With Deep Generative Model And Bayesian Inference,
2024
University of Colorado Boulder
Statistical Downscaling Of Climate Datasets With Deep Generative Model And Bayesian Inference, Guiye Li, Guofeng Cao
I-GUIDE Forum
Facing the challenges of global climate change, precise and high spatial resolution climate data are crucial and in pressing need for scientific research and analysis. However, most existing datasets are only available with very coarse spatial resolution and demand large-scale resolution enhancement. Meanwhile, climate datasets own much more intricate textures than natural images. Statistical downscaling or super-resolution (SR) with the deep-learning-based generative model might be a promising approach to address these challenges. It is worth noting that a learned Bayesian reconstruction with generative models (L-BRGM) method was proposed recently. The proposed Bayesian deep learning framework employs a single pre-trained generative …
Understanding Complex Socio-Environmental Systems With Spatial Agent-Based Models,
2024
University of Illinois at Urbana-Champaign
Understanding Complex Socio-Environmental Systems With Spatial Agent-Based Models, Rebecca C. Vandewalle, Alexander Michels, Furqan Baig, Shaowen Wang
I-GUIDE Forum
Our increasingly connected world is faced with complex socio-environmental problems (e.g., biodiversity loss, climate change, and food insecurity). Tackling these problems requires cross- disciplinary approaches that examine the problems based on synergistic spatial and system thinking. Spatial Agent-Based Models (SABMs) represent a powerful approach to understanding complex socio-environmental systems. However, research on SABMs and associated complex problem solving face grand challenges that must be overcome to effectively unleash the power of SABMs enabled by cyber-based geographic information science and systems (cyberGIS). This paper describes four such grand challenges —reproducibility, scalability, communication, and accessibility. Resolving these challenges will enable new spatial …
Communicating Uncertainty And Cataloging Bias In Spatial Data Science Education,
2024
University of California, Santa Barbara
Communicating Uncertainty And Cataloging Bias In Spatial Data Science Education, Peter Kedron, Jiahua Chen
I-GUIDE Forum
Uncertainty is an unavoidable part of any spatial analysis, which makes quantifying and communicating uncertainty a requirement of any spatial data science study. However, current curricula leave students understanding the importance of uncertainty and concerned about potential bias, but without an actionable framework to improve their workflows or inferences. We propose a framework rooted in Bloom’s Taxonomy for introducing these concepts to spatial data science students.
A Convergence Framework For Integrating Cybergis Education And Research On I-Guide Platform,
2024
Virginia Polytechnic Institute and State University
A Convergence Framework For Integrating Cybergis Education And Research On I-Guide Platform, Fangzheng Lyu, Furqan Baig, Yunfan Kang, Erick Li, Anand Padmanabhan, Shaowen Wang
I-GUIDE Forum
This paper described Data with Notebooks as a convergence framework for integrating cyberGIS education and research on the I-GUIDE Platform. The I-GUIDE Platform provides rich geospatial data and computing resources and adheres to FAIR (findable, accessible, interoperable, and reusable) data principles. The framework enhances these capabilities by harnessing scalable and reproducible geospatial analytics. Specifically, this framework supports the development of interactive cyberGIS education and research Jupyter Notebooks centered around geospatial datasets. A case study demonstrates the application of the framework, showing six cyberGIS research notebooks and four cyberGIS education notebooks based on a Twitter dataset. The case study and underlying …
Building Blocks For Geospatial Software Education Using The I-Guide Platform,
2024
University of Illinois at Urbana-Champaign
Building Blocks For Geospatial Software Education Using The I-Guide Platform, Rebecca C. Vandewalle, Alexander Michels, Zhiyuan Li, Nattapon Jaroenchai, Shaowen Wang
I-GUIDE Forum
By combining advanced cyberinfrastructure with geospatial analysis capabilities and resources in an accessible online environment, the I-GUIDE Platform has great potential for geospatial computing focused education. However, learning occurs in different settings and contexts, both formal and informal. For I-GUIDE Platform to be successful, it should have the flexibility to support a variety of educational needs. In this paper, we argue for an expanded set of front-end building blocks to support diverse education and research use-cases, building on existing cyberGIS capabilities and Jupyter backend. We draw from experience working with the CyberGISX platform as an education tool in different learning …
Tradeoffs Of Generalization,
2024
University of Illinois at Urbana-Champaign
Tradeoffs Of Generalization, Kyra M. Abrams, Peter T. Darch
I-GUIDE Forum
Models used in geospatial data science are often built and optimized for a specific local context, such as a particular location at a point in time. However, upon publication, these models may be generalized beyond this context, reused in research simulating or predicting other times and places. Without sufficient information or documentation, bias embedded in these models can in turn result in bias in the reuser’s research outputs. Drawing on a long-term qualitative case study of aging dams researchers and developers of models used by these researchers, we find significant documentation gaps. We combine a literature-based genealogy with interviews with …
Data-Intensive Convergence Science For Analyzing Place-Based Spatial Accessibility,
2024
University of Illinois at Urbana-Champaign
Data-Intensive Convergence Science For Analyzing Place-Based Spatial Accessibility, Alexander C. Michels, Shaowen Wang
I-GUIDE Forum
Place-based spatial accessibility is a critical tool for measuring the health, resilience, and sustainability of communities. Accessibility methods are employed by a wide range of fields to measure access to food, healthcare, infrastructure and other critical needs. While measures of access are relatively simple, they attempt to capture the complexities of human mobility and spatial decision-making to assess how well populations are served by the infrastructure, resources, and services at their disposal. This paper describes four key areas where data-intensive convergence science can revolutionize our understanding of place-based spatial accessibility by addressing issues of scale, spatial impedance, diversity, and accessibility. …
Being Open About Oer: Perceptions, Use, And Impact,
2024
Washington University in St. Louis
Being Open About Oer: Perceptions, Use, And Impact, Treasa Bane, Dorris Scott
WashU Libraries Presentations
In this session, the presenters will describe the experience of adopting an open educational resource for a course, the motivation to adapt that open educational resource, and the steps they took to manage an OER adaptation project . The participants will be engaged with prompting questions and conversation points during each section of the presentation, and they will be given time to brainstorm and discuss the challenges, motivations, tools, and support they have at their own campuses to take on similar projects.
Conducting Structure-From-Motion (Sfm) Modeling Of Freshwater Environments Using Unpiloted Aerial Systems (Uas): Challenges And Lessons Learned,
2024
University of New Hampshire, Durham
Conducting Structure-From-Motion (Sfm) Modeling Of Freshwater Environments Using Unpiloted Aerial Systems (Uas): Challenges And Lessons Learned, Benjamin T. Fraser, Christine L. Bunyon, Russell G. Congalton
Faculty Publications
The pairing of Unpiloted Aerial Systems (UAS) and Structure from Motion (SfM) has provided new capabilities for modeling freshwater environments. Applications of UAS-SfM range from water quality monitoring to the mapping of aquatic vegetation. The models produced provide users with the ability to analyze features at ultra-high-resolutions and across scales not easily achieved through in situ sampling. Despite the demonstrated benefits of UAS-SfM in freshwater and other natural resource disciplines, there remain fundamental technical challenges in the modeling of environments with homogenous surfaces (e.g., water). In this research, the effectiveness of several image collection and processing approaches for the modelling …
