Crime, Consumers, And Clustering: A Geomarketing Analysis Of Retail Behavior Across Urban Markets,
2026
Jacksonville State University
Crime, Consumers, And Clustering: A Geomarketing Analysis Of Retail Behavior Across Urban Markets, Mark J. Sciuchetti Dr., Jianping Huang
Atlantic Marketing Association Proceedings
No abstract provided.
Developing A Range Prediction For The Imperiled Florida Harvester Ant (Pogonomyrmex Badius) Using Species Distribution Modeling,
2026
The University of Southern Mississippi
Developing A Range Prediction For The Imperiled Florida Harvester Ant (Pogonomyrmex Badius) Using Species Distribution Modeling, Noah Williamson
Honors Theses
The Florida Harvester Ant (Pogonomyrmex badius) was once widespread and commonplace throughout the sandhills of the Southeastern United States, providing key ecosystem services, such as seed dispersal and soil aeration. Over recent decades, however, Florida Harvester Ant populations have declined in some areas. Current literature postulates that Red Imported Fire Ants (RIFA), and the insecticides used to manage them, as well as further human encroachment onto their habitat, all likely contributed to Florida Harvester Ant population declines. Thus, to better protect these organisms, pursue data-driven conservation efforts, and guide management practices, more information about their nest site selection, as well …
New Insights From Old Sources: Using Hot Spot Analysis Of Fire Insurance Documents To Characterize The C. 1800 Built Environment Of Fredericksburg, Va,
2026
University of Mary Washington
New Insights From Old Sources: Using Hot Spot Analysis Of Fire Insurance Documents To Characterize The C. 1800 Built Environment Of Fredericksburg, Va, Grace Hannah Buck
Research and Creativity Symposium
The field of historic preservation makes use of many types of archival resources to understand past events, practices, and spaces that would otherwise be difficult to parse from extant objects. Though they can be used in their initial state, application of geospatial methods to certain archival resources can improve their ease of use, reveal missing context, or provide new insight to the information they hold. In that vein, this study applies geospatial analysis to a collection of historic insurance policies issued by the Mutual Assurance Society (MAS) of Virginia (1796-1867) for buildings in Fredericksburg, VA, at the turn of the …
Weather Rescue At Sea: Recovering Historical Weather Observations From 19th Century British Naval Ships,
2026
Singapore Management University
Weather Rescue At Sea: Recovering Historical Weather Observations From 19th Century British Naval Ships, Praveen Teleti, Ed Hawkins, Clive Wilkinson
Research Collection College of Integrative Studies
Ship logbooks represent a critical source of historical meteorological data, providing valuable observations of barometric pressure, air temperature, sea surface temperature, wind force and direction, and other variables. Substantial quantities of these records are unavailable to climate science as they have not yet been transcribed. We present ‘Weather Rescue at Sea’, a citizen-science project which transcribed millions of weather observations contained in 19th Century UK Royal Navy ship logbooks. We describe the logbook structure and weather observation-taking instructions and discuss significant challenges with the translation of handwritten text into accurate data due to errors arising from ambiguous handwriting, historical terminology, …
Resilience Among Smallholder Irish Potato Farmers To The Impacts Of Climate Variability In Wanging’Ombe District, Tanzania,
2026
College of Social Sciences University of Dar es Salaam
Resilience Among Smallholder Irish Potato Farmers To The Impacts Of Climate Variability In Wanging’Ombe District, Tanzania, Timotheo Bilary Ngalaga, Digna Wolfram Mlengule, Jackson Raymond Sawe
Journal of Humanities and Social Sciences
This paper examines smallholder farmers’ adaptation strategies to climate variability, and their resilience in enhancing their capacity to adopt. The data was collected from 98 heads of households using both quantitative and qualitative approaches. The methods of data collection included household surveys, focus group discussions (FGDs), in-depth interviews, and document review. The quantitative data were analysed using the IBM SPSS (Version 23), while the qualitative data were analysed using thematic analysis. The findings indicate that 69.4% of respondents reported a decrease in rainfall, while 89.8% reported an increase and fluctuations in temperature over the past 29 years. Moreover, the findings …
Climate Change Vulnerability And Adaptation Pathways: Stakeholders’ Synergies In Building Climate Resilience In The Semi-Arid Area Of Central Tanzania,
2026
Mkwawa University College of Education University of Dar es Salaam
Climate Change Vulnerability And Adaptation Pathways: Stakeholders’ Synergies In Building Climate Resilience In The Semi-Arid Area Of Central Tanzania, Helena Elias Myeya
Journal of Humanities and Social Sciences
This article examines the perceived effect of climate change on cereal crop production and the responses of various stakeholders aimed at enhancing the resilience of smallholder farmers in semi-arid areas of central Tanzania. A total of 366 household heads, 28 participants in focus group discussions (FGDs), and 8 key informants from Bahi and Kongwa districts in Dodoma, Tanzania, were involved in this study. Both quantitative and qualitative data were gathered through a structured interview schedule, FGDs, in-depth interviews, and documentary reviews. Descriptive statistics and content analysis were used to analyse quantitative and qualitative data, respectively. The findings indicate that smallholder …
Mapping Fire Management: A Spatial Social Network Approach,
2026
National Autonomous University of Mexico
Mapping Fire Management: A Spatial Social Network Approach, Christoph Neger, Cody Evers, Kapil Yadav, Octavio Romero Cuapio
Environmental Science and Management Faculty Publications and Presentations
Maps are an essential tool to inform fire governance and management. For instance, they can highlight which areas are most vulnerable to adverse fire impacts or be used to plan interventions for risk reduction and prevention. In recent years, several studies have mapped the fire management activities and the networks between the multitude of involved actors. They build upon previous advances to combine quantitative and qualitative social network analysis with geographical analysis and cartography, aiming to highlight areas of opportunity to enhance fire governance. This paper continues this line of research, examining cooperation in fire management within the south-eastern part …
Validating Uas-Based Ndvi Data With Satellite Landsat Imagery For Bald Eagle Habitat Prediction In The Del Rio Springs Ecosystem,
2026
Embry-Riddle Aeronautical University
Validating Uas-Based Ndvi Data With Satellite Landsat Imagery For Bald Eagle Habitat Prediction In The Del Rio Springs Ecosystem, Noah Morales, Ronny Schroeder, Elise Anderson
Student Works
Vegetation health is commonly assessed using the Normalized Difference Vegetation Index (NDVI), which can be derived from multispectral sensors operating at different spatial resolutions. Validating NDVI products across sensor platforms is essential to determine their reliability for environmental monitoring and habitat assessment. This research compares NDVI derived from moderate-resolution satellite imagery and high-resolution unmanned aircraft system (UAS) imagery collected over the same study area. Landsat imagery, provided through the joint USGS–NASA mission, was used to represent satellite-based vegetation patterns, while high-resolution multispectral data were acquired using a MicaSense sensor mounted on a UAS to capture fine-scale vegetation detail.
NDVI values …
Beyond "Place Matters": Making Spatial Analysis Accessible With Dashboard-Driven Geography,
2026
Coastal Carolina University
Beyond "Place Matters": Making Spatial Analysis Accessible With Dashboard-Driven Geography, Stephen Borders
Public Health
This article presents an instructional module that uses Tableau to teach spatial thinking and policy geography through an analysis of Supplemental Nutrition Assistance Program (SNAP) participation. Tableau’s ability to integrate custom spatial files with demographic and health data makes it an accessible platform for introducing geographic inquiry without requiring specialized GIS expertise. The lesson guides instructors through building maps, bullet charts, and scatterplots that highlight gaps between eligibility and enrolment, while connecting food insecurity to health outcomes. By lowering technical barriers, Tableau provides a pedagogical bridge that helps educators foster spatial literacy in diverse classroom contexts.
This article was published …
Geospatial Analysis Of Urban Heat Islands And Heat Vulnerability In Chattogram, Bangladesh: Implications For Public Health Risks,
2026
Clark University
Geospatial Analysis Of Urban Heat Islands And Heat Vulnerability In Chattogram, Bangladesh: Implications For Public Health Risks, Mst Sanjida Alam
Student Publications [Scholarly]
Rapid urbanization and land use change are intensifying the Urban Heat Island (UHI) effect and its associated health risks. It is the most common problem in the cities across the Global South. Chattogram the second-largest city in Bangladesh that has highly urbanized and experiencing transformation of croplands and vegetation into impervious surfaces. The changes contribute to the increase in the surface temperature and vulnerability of urban residents. This study aims to determine spatiotemporal patterns of UHI between 2011 and 2024 and the Heat Vulnerability Index (HVI) for 2024 and its associated health risk of Chattogram District. The HVI was developed …
Typeface: Machine-Viewing Gentrification On Storefront Imagery In Bedford-Stuyvesant, Brooklyn,
2026
CUNY Graduate Center
Typeface: Machine-Viewing Gentrification On Storefront Imagery In Bedford-Stuyvesant, Brooklyn, Alexander Mcquilkin
Dissertations, Theses, and Capstone Projects
Gentrification—broadly, the replacement of a less powerful group by a more powerful one in an urban context—is oft-discussed in the popular press, but its definition is much-debated in the urban planning literature. Furthermore, academic treatments of displacement understandably focus on measurable yet fairly abstract indicators like changes in rent or income, whereas neighborhood change is often registered by residents on the ground using visual, but difficult-to-quantify markers like retail turnover. This project uses image recognition technology on a set of storefront photos to index the visual streetscape of a neighborhood, as well as to track changes to that portrait over …
A Student-Centered Gis Classroom: Second Chances And Real-World Practice
Teaching Portfolio For Nres218 Introduction To Geospatial Technologies,
2026
University of Nebraska-Lincoln
A Student-Centered Gis Classroom: Second Chances And Real-World Practice Teaching Portfolio For Nres218 Introduction To Geospatial Technologies, Ran Wang
UNL Faculty Course Portfolios
This course portfolio documents the design, implementation, and reflection of NRES218 Introduction to Geospatial Technologies, an introductory undergraduate geographic information system (GIS) course. This course aims to integrate basic and applied sciences to help students develop spatial thinking and spatial analysis skills for proposing spatial science–oriented solutions. Instructional strategies emphasize experiential learning through structured laboratory exercises and outdoor field activities that connects real-world observation with GIS analysis. To support student learning and persistence, the course also incorporated flexible assessment practices, including second-chance exams. Reflection on student engagement and performance revealed that while these strategies were highly beneficial for some students, …
Using Maximum Entropy (Maxent) Tool In Arcgis Pro For Species Distribution Modelling Of Pseudoscorpions In The Pacific Northwest,
2026
Portland State University
Using Maximum Entropy (Maxent) Tool In Arcgis Pro For Species Distribution Modelling Of Pseudoscorpions In The Pacific Northwest, Elliot Toshihiro Cochran
Masters in GIS Practicum Reports
The use of Geographic Information Systems (GIS) to create Species Distribution Models (SDMs) is rising among many scientific disciplines. Many professionals who were not originally focused on GIS are increasingly becoming more invested in this technology. SDMs are widely used to estimate species’ potential geographic distributions and to evaluate the environmental factors that constrain their ranges. The presence-only maximum entropy (MaxEnt) algorithm implemented in the MaxEnt tool in ArcGIS Pro was used in this project to model habitat suitability for two species of pseudoscorpions, M. pacificus and an undescribed species, in Oregon and Washington. Presence points (of specimen sample locations) …
Identifying Socio-Economic Areas Of Concern Towards Inclusion In Gis Hazard Management In Detroit, Michigan.,
2026
Fort Hays State University
Identifying Socio-Economic Areas Of Concern Towards Inclusion In Gis Hazard Management In Detroit, Michigan., Ernestina Osei
Master's Theses or Doctor of Nursing Practice
This study examined the spatial distribution of socio-economic vulnerability and accessibility to essential services in Detroit, Michigan, using a Geographic Information Systems (GIS)-based approach. The research aimed to identify areas of greatest concern by integrating socio-economic indicators, including poverty, housing vacancy, income, unemployment, and crime, with spatial measures of access to critical infrastructure such as hospitals, fire stations, police stations, and grocery stores. Both feature-based and raster-based analyses were employed, including buffer and overlay analysis, service area evaluation, Euclidean distance modeling, and multi-criteria suitability analysis.
A mixed-methods framework was adopted to combine quantitative spatial analysis with contextual understanding of urban …
Integrated Geospatial Analysis Of Burn Severity And Vegetation Recovery Of The California August Complex Fire In 2020,
2026
Embry-Riddle Aeronautical University
Integrated Geospatial Analysis Of Burn Severity And Vegetation Recovery Of The California August Complex Fire In 2020, Dharm Barot, Ronny Schroeder, Elise Anderson
Student Works
Large wildfires increasingly alter vegetation structure and ecosystem recovery trajectories at landscape scales, requiring reliable geospatial methods for post-fire assessment. This study evaluates burn severity and vegetation recovery following the 2020 California August Complex Fire using an integrated framework combining multispectral satellite imagery, spatial statistics, and airborne LiDAR data.
Burn severity was quantified using differenced Normalized Burn Ratio (dNBR), and vegetation recovery was assessed through a multi-temporal NBR time series spanning pre-fire (2015), fire-year (2020), and post-fire (2025) conditions. Optimized Hotspot Analysis (Gi*) was applied to isolate statistically significant clusters of high burn severity and reduce bias in recovery estimates. …
Enhancing Coastal Vulnerability Assessments And Policy Impacts On Socioeconomic And Environmental Equity In Michigan's Great Lakes Communities,
2026
Michigan Technological University
Enhancing Coastal Vulnerability Assessments And Policy Impacts On Socioeconomic And Environmental Equity In Michigan's Great Lakes Communities, Esther N. Acheampong
Dissertations, Master's Theses and Master's Reports
Accelerating shoreline erosion, fluctuating lake levels, and climate-induced hazards are transforming the Great Lakes’ freshwater coasts, exposing the limitations of static and inequitable management frameworks. This dissertation investigates how Michigan’s coastal governance systems produce and manage vulnerability along the Lake Michigan shoreline by integrating geospatial modeling, institutional policy analysis, and environmental justice theory. It argues that both physical processes and institutional designs co-determine patterns of exposure, protection, and equity. The research begins by developing a refined Coastal Vulnerability Index (CVI) tailored for lacustrine environments, applying it to Muskegon County to assess how shoreline change, armoring, and seasonality influence localized risk. …
Assessment Of Truck Parking Demand And Safety During Normal And Severe Weather Conditions In Nebraska,
2026
University of Nebraska - Lincoln
Assessment Of Truck Parking Demand And Safety During Normal And Severe Weather Conditions In Nebraska, Nathan Huynh, Li Zhao, Zhenghong Tang, Aida Riahifar, Jahangeer Jahangeer
Nebraska Department of Transportation: Research Reports
This project examined truck parking capacity, demand, and utilization patterns along I-80 in Nebraska. The objectives were to (1) document the capacity of public and private truck parking facilities along I-80, (2) analyze spatial and temporal trends in parking demand, (3) develop models to predict occupancy at parking facilities, (4) identify clusters of undesignated parking during inclement weather, and (5) assess whether truck parking shortages contribute to truck-involved crashes. Within a one-mile buffer of I-80, 21 public facilities and 49 private facilities were identified. The spatiotemporal analysis of these public and private truck parking facilities using the National Agriculture Imagery …
Validating Uas-Based Ndvi Data With Satellite Landsat Imagery For Bald Eagle Habitat Prediction In The Del Rio Springs Ecosystem,
2026
Embry-Riddle Aeronautical University, Prescott, Arizona
Validating Uas-Based Ndvi Data With Satellite Landsat Imagery For Bald Eagle Habitat Prediction In The Del Rio Springs Ecosystem, Noah Morales, Colton Weeks, Hank Vincent, Ronny Schroeder
Student Works
Vegetation health is commonly assessed using the Normalized Difference Vegetation Index (NDVI), which can be derived from multispectral sensors operating at different spatial resolutions. Validating NDVI products across sensor platforms is essential to determine their reliability for environmental monitoring and habitat assessment. This research compares NDVI derived from moderate-resolution satellite imagery and high-resolution unmanned aircraft system (UAS) imagery collected over the same study area. Landsat imagery, provided through the joint USGS–NASA mission, was used to represent satellite-based vegetation patterns, while high-resolution multispectral data were acquired using a MicaSense sensor mounted on a UAS to capture fine-scale vegetation detail.
NDVI values …
Integrated Geospatial Analysis Of Burn Severity And Vegetation Recovery Of The California August Complex Fire In 2020,
2026
Embry-Riddle Aeronautical University
Integrated Geospatial Analysis Of Burn Severity And Vegetation Recovery Of The California August Complex Fire In 2020, Dharm Barot, Ronny Schroeder
Student Works
Large wildfires increasingly alter vegetation structure and ecosystem recovery trajectories at landscape scales, requiring reliable geospatial methods for post-fire assessment. This study evaluates burn severity and vegetation recovery following the 2020 California August Complex Fire using an integrated framework combining multispectral satellite imagery, spatial statistics, and airborne LiDAR data.
Burn severity was quantified using differenced Normalized Burn Ratio (dNBR), and vegetation recovery was assessed through a multi-temporal NBR time series spanning pre-fire (2015), fire-year (2020), and post-fire (2025) conditions. Optimized Hotspot Analysis (Gi*) was applied to isolate statistically significant clusters of high burn severity and reduce bias in recovery estimates. …
Precision Rockslide Hazard Mapping With Multispectral Imaging And Lidar Along Arizona Highway 89a,
2026
Embry-Riddle Aeronautical University
Precision Rockslide Hazard Mapping With Multispectral Imaging And Lidar Along Arizona Highway 89a, Hank Warner, Ronny Schroeder
Student Works
Along mountainous roads, rockslides, mud slides and avalanches pose a significant risk for continued access to a region and can cause large amounts of damage to infrastructure, taking time to clear and repair. The prediction of where these events will occur can allow preventative measures to be taken, allowing sustained access and preventing costly repairs.
This study develops a method to analyze and predict rockslide risk using satellite-sourced multispectral imagery and airborne LiDAR data.
The developed method started with multispectral LANDSAT 8 imagery and airborne LiDAR captures over Arizona Highway 89A, with all data taken between late August and early …
