Geographic Information Sciences Commons^™

Philosophical Perspectives, Jochen Albrecht

Publications and Research

This entry follows in the footsteps of Anselin’s famous 1989 NCGIA working paper entitled “What is special about spatial?” (a report that is very timely again in an age when non-spatial data scientists are ignorant of the special characteristics of spatial data), where he outlines three unrelated but fundamental characteristics of spatial data. In a similar vein, I am going to discuss some philosophical perspectives that are internally unrelated to each other and could warrant individual entries in this Body of Knowledge. The first one is the notions of space and time and how they have evolved in …

Automatic Features Extraction From Time Series Of Passive Microwave Images For Snowmelt Detection Using Deep-Learning – A Bidirectional Long-Short Term Memory Autoencoder (Bi-Lstm-Ae) Approach., Bienvenu Sedin Massamba

LSU Master's Theses

The Antarctic surface snowmelt is prone to the polar climate and is common in its coastal regions. With about 90 percent of the planet's glaciers, if all of the Antarctica glaciers melted, sea levels will rise about 58 meters around the planet. The development of an effective automated ice-sheet snowmelt monitoring system is therefore crucial.

Microwave remote sensing instruments, on the one hand, are very sensitive to snowmelt and can see day and night through clouds, allowing us to distinguish melting from dry snow and to better understand when, where, and for how long melting has taken place. On the …

An Atmospheric And Spatiotemporal Examination Of Lightning-Initiated Terrestrial Gamma-Ray Flashes Detected By The Fermi Satellite And Tetra Ii, Deirdre Colleen Smith

LSU Doctoral Dissertations

Terrestrial Gamma-ray Flashes (TGFs) are sub-millisecond bursts of the highest naturally occurring light-energy found within Earth’s atmosphere. TGFs are associated with the electric fields produced in thunderstorms and are geolocated by coincident sferics from lightning strokes. Though billions of lightning strokes occur globally each year, fewer than 1,000 TGFs are detected via satellite and ground-based sensors and only a small fraction are geolocated via sferics.

To date, few studies have focused on individual thunderstorms and climates that produce TGFs. This dissertation examines TGFs from two differing data samples: 1) NASA's Fermi Gamma-Ray Burst Monitor (2013-2018) and 2) The TGF and …

The Belknap Campus And Metro Louisville Urban Heat Island Effect: Air And Ground Surface Temperature Analysis, Kenyetta Johnson

Undergraduate Arts and Research Showcase

Numerous studies show that urban morphologies and land covers generate excess heat emissions and retain heat relative to surrounding rural areas, known as the Urban Heat Island (UHI) effect. Urban fabrics paved by concretes and asphalts absorbs solar radiation during solar peak then radiates heat after sundown. This study investigates temperature distribution data related to the UHI effect on the Belknap campus at the University of Louisville, which represents a small aerial sample of the Louisville metropolitan UHI effect. The objective of this study is to measure the reflectivity of ground surfaces and air temperatures on the Belknap campus during …

Mapping Kenyan Grassland Heights Across Large Spatial Scales With Combined Optical And Radar Satellite Imagery, Olivia S. B. Spagnuolo, Julie C. Jarvey, Michael Battaglia, Zachary Laubach, Mary Ellen Miller, Kay E. Holekamp, Laura Bourgeau-Chavez

Michigan Tech Publications, Part 1

Grassland monitoring can be challenging because it is time-consuming and expensive to measure grass condition at large spatial scales. Remote sensing offers a time- and cost-effective method for mapping and monitoring grassland condition at both large spatial extents and fine temporal resolutions. Combinations of remotely sensed optical and radar imagery are particularly promising because together they can measure differences in moisture, structure, and reflectance among land cover types. We combined multi-date radar (PALSAR-2 and Sentinel-1) and optical (Sentinel-2) imagery with field data and visual interpretation of aerial imagery to classify land cover in the Masai Mara National Reserve, Kenya using …

Comparing Individual Perceptions Of Food Desert With Quantitative Measures In Omaha, Nebraska., Hector N. Samani, Bradley Bereitschaft

UNO Student Research and Creative Activity Fair

Food deserts have been linked to an increase in chronic diseases such as obesity and diabetes, due to lower access to affordable and healthy foods. The United States Department of Agriculture (USDA) outlines various methods and variables for defining food deserts, in attempts to standardize what constitutes a food desert or their characteristics. The USDA identifies the state of Nebraska as having both rural and urban food deserts, with an increase of food insecurity from 1.1% – 3.0% between 2007 and 2012 and warns of further increase of food deserts and its impact if measures are not taken. However, there …

Examining Spatial Inequities In Green Space Distribution And Access Around The Historic City Of Savannah, Georgia., Chiamaka F. Chimah

College of Graduate Studies: Theses & Dissertations

Green space supports recreational activities and environmental sustainability which has proven to aid physical and social well-being as well as environmental health. However, spatial inequities are observed in the distribution and accessibility of urban green space. This norm identified as an environmental justice issue has left racial minorities and people of low socioeconomic status at a disadvantage. This study adopted a geospatial approach to assess green space quantity, quality, and accessibility, and generate a green space index. This research assessed the relationship between racial structure, socioeconomic characteristics and green space inequities in all municipalities in Chatham County, Georgia with a …

Remote Sensing Approaches To Predict Forest Characteristics In Northwest Montana, Ryan P. Rock

Graduate Student Theses, Dissertations, & Professional Papers

Remote sensing can be utilized by land management organizations to save money and time. Mapping vegetation using either aerial photographs or satellite imagery and the applications for forest management are of particular interest to the Montana Department of Natural Resources. In 2018, the organization began a pilot program to test the incorporation of raster analysis of remotely sensed data into their inventory program and had limited success. This analysis identified two areas of improvement: the selection method of inventory plots and the imagery used for classification and metrics. This study found that selecting inventory plots using a generalized random tessellation …

Investigating The Spatial And Statistical Dimensions Of Mortuary Choice In The Historical-Period Old City Cemetery In Roslyn, Washington, Sarah Rain Hibdon

All Master's Theses

The historical-period Old City Cemetery in Roslyn, Washington contains individuals from diverse social backgrounds and exhibits considerable variation in mortuary expression. As such, the Old City Cemetery offers a unique opportunity to explore potential differences in social group mortuary practices spatially and statistically. Using burials in Roslyn’s Old City Cemetery, this project developed a methods framework to assess mortuary practice through demographics, burial location, and monument/plot attributes. I tested correlations between demographics and mortuary expression using spatial-statistical cluster analysis (Ripley’s K-Function), spatial density analysis (Kernel Density Estimation), and non-spatial statistical significance assessments (Factor analysis and Pearson’s R), and identified …

The Role Of Geospatial Information And Effective Partnerships In The Implementation Of The International Agenda For Sustainable Development, Etta Delores Jackson

Antioch University Dissertations & Theses

The former United Nations Secretary-General Ban Ki-Moon (2014), repeated the core promise in the 1986 UN Declaration on the Right to Development, in which the General Assembly called for an approach guaranteeing meaningful participation of everyone in development and the fair distribution of the benefits of that development. To this end, partnerships are central and can lead to the dignity of the citizens involved as they participate in the development of their own communities. This dissertation research conducted in Manyatta A and B in the Port City of Kisumu, Kenya sought to do just that. The purpose of this study …

Innovative Approaches To 3d Gis Modeling For Volumetric And Geoprocessing Applications In Subsurface Infrastructures In A Virtual Immersive Environment, Pragya Srivastava

Graduate Theses, Dissertations, and Problem Reports (ETD)

As subsurface features remain largely ‘out of sight, out of mind’, this has led to challenges when dealing with underground space and infrastructures and especially so for those working in GIS. Since subsurface infrastructure plays a major role in supporting the needs of modern society, groups such as city planners and utility companies and decision makers are looking for an ‘holistic’ approach where the sustainable use of underground space is as important as above ground space. For such planning and management, it is crucial to examine subsurface data in a form that is amenable to 3D mapping and that can …

Comparing Fence Modeling And Mapping Approaches To Support Wildlife Management And Research In Southwest Montana, Simon Albert Buzzard

Graduate Student Theses, Dissertations, & Professional Papers

Fences pose significant challenges to wildlife movement, but their effects are difficult to quantify because fence location and fence type data are lacking on a global scale. We developed a fence location and density model in southwest Montana, USA to provide data to researchers and managers, and test whether previous models could be applied to a new region and retain suitable levels of statistical accuracy. Our model used local expert opinion to inform how road, land cover, and ownership spatial layers interacted to predict fence locations. We validated the model against fence data collected on random 3.2 km road transects …

The Influence Of Landforms And Sampling Approaches On Riparian Buffer Area And Complexity, Houjun Ding

Dissertations, Master's Theses and Master's Reports

A riparian area is a zone of interaction between aquatic and terrestrial ecosystems. Delineating accurate riparian management zones (RMZs), often utilized in Best Management Practices (BMPs) for wetlands and stream protection, is important. The Riparian Buffer Delineation Model (RBDM) has been used extensively for accurate RMZs delineation. Utilizing the validated RBDM generates additional questions about riparian area form and function, which will ideally lead to an improved understanding of the ecological process within these zones. This study aims to determine how geomorphic landforms and their associated landscape characteristics influence riparian areas in terms of shape and complexity, whether sampling methods …

Communications And Methodologies In Crime Geography: Contemporary Approaches To Disseminating Criminal Incidence And Research, Mitchell Ogden

Electronic Theses and Dissertations

Many tools exist to assist law enforcement agencies in mitigating criminal activity. For centuries, academics used statistics in the study of crime and criminals, and more recently, police departments make use of spatial statistics and geographic information systems in that pursuit. Clustering and hot spot methods of analysis are popular in this application for their relative simplicity of interpretation and ease of process. With recent advancements in geospatial technology, it is easier than ever to publicly share data through visual communication tools like web applications and dashboards. Sharing data and results of analyses boosts transparency and the public image of …

Potable Water Leakage Prediction And Detection Using Geospatial Analysis, Jacob Tittle

Electronic Theses and Dissertations

Due to increasing water treatment costs and conservation needs, traditional water loss analysis and acoustic leak detection methods are becoming heavily scrutinized by water utilities. This study explores water loss in Johnson City, Tennessee and how geospatial data analysis techniques improve water loss mitigation. This project uses sample water system pressure data and ordinary kriging spatial interpolation methods to identify leakage areas for further investigation. Analysis of existing geographic information system (GIS) water utility datasets with interpolated hydraulic grade values at sample water pressure points produce manageable survey areas that pinpoint areas with possible water leakage. Field detection methods, including …

Regional Scale Dryland Vegetation Classification With An Integrated Lidar-Hyperspectral Approach, Hamid Dashti, Andrew Poley, Nancy Glenn, Nayani Ilangakoon, Lucas Spaete, Dar Roberts, Et. Al.

Michigan Tech Publications, Part 1

The sparse canopy cover and large contribution of bright background soil, along with the heterogeneous vegetation types in close proximity, are common challenges for mapping dryland vegetation with remote sensing. Consequently, the results of a single classification algorithm or one type of sensor to characterize dryland vegetation typically show low accuracy and lack robustness. In our study, we improved classification accuracy in a semi-arid ecosystem based on the use of vegetation optical (hyperspectral) and structural (lidar) information combined with the environmental characteristics of the landscape. To accomplish this goal, we used both spectral angle mapper (SAM) and multiple endmember spectral …

A Least Cost Analysis: Correlative Modeling Of The Chaco Regional Road System, Sean Field, Carrie Heitman, Heather Richards-Rissetto

Department of Anthropology: Faculty Publications

During the ninth through twelfth centuries A.D., Ancestral Pueblo people constructed long, straight roads that interconnected the Chaco regional system across the San Juan Basin of northwestern New Mexico. The intent and use of these features has eluded archaeological consensus, although recent research has reiterated the occurrence of long distance timber importation to Chaco Canyon. To enhance our interpretation of these features we offer a large-scale least cost analysis wherein optimal pathways that are modeled to simulate timber importation are compared to the actual road locations. A series of least cost paths were produced through different energy allocation algorithms, at …

Deciphering Public Transit Ridership In Baton Rouge: Spatial Disaggregation Approaches, Xuan Kuai

LSU Doctoral Dissertations

Background: Surveys across the U.S. reveal that commuters driving personal vehicles spend a significant amount of time in traffic, while public transit, as an efficient commuting mode, has been largely underutilized.

Purpose: What causes a low public transit ridership? How could public transit ridership be explained by demographic, socio-economic and spatial characteristics of neighborhood? This study answers these questions by deciphering the relationships between public transit ridership and various factors in a medium-size city in southern U.S. – Baton Rouge, Louisiana.

Methods: Non-spatial and spatial data in a larger areal unit (e.g., block group) are used to infer demographic, socio-economic …

Digitally-Mediated Practices Of Geospatial Archaeological Data: Transformation, Integration, & Interpretation, Heather Richards-Rissetto, Kristin Landau

Department of Anthropology: Faculty Publications

Digitally-mediated practices of archaeological data require reflexive thinking about where archaeology stands as a discipline in regard to the ‘digital,’ and where we want to go. To move toward this goal, we advocate a historical approach that emphasizes contextual source-side criticism and data intimacy—scrutinizing maps and 3D data as we do artifacts by analyzing position, form, material and context of analog and digital sources. Applying this approach, we reflect on what we have learned from processes of digitally-mediated data. We ask: What can we learn as we convert analog data to digital data? And, how does digital data transformation impact …

The Importance Of Landscape Position Information And Elevation Uncertainty For Barrier Island Habitat Mapping And Modeling, Nicholas Matthew Enwright

LSU Doctoral Dissertations

Barrier islands provide important ecosystem services, including storm protection and erosion control to the mainland, habitat for fish and wildlife, and tourism. As a result, natural resource managers are concerned with monitoring changes to these islands and modeling future states of these environments. Landscape position, such as elevation and distance from shore, influences habitat coverage on barrier islands by regulating exposure to abiotic factors, including waves, tides, and salt spray. Geographers commonly use aerial topographic lidar data for extracting landscape position information. However, researchers rarely consider lidar elevation uncertainty when using automated processes for extracting elevation-dependent habitats from lidar data. …

Lidar-Based Sinkhole Detection And Mapping In Knox County, Tennessee, J Clint Shannon, David Moore, Yingkui Li, Cathy Olsen

Pursuit - The Journal of Undergraduate Research at The University of Tennessee

Sinkholes are one of the major causes of damage to roads, buildings, and other infrastructure throughout the US. Sinkholes near or on roads are especially costly and occasionally deadly. Knox County and much of East Tennessee are located within karst areas (comprised of porous and soluble limestone and dolomite), deeming it at risk for sinkholes. Currently, Knox County uses contour maps to manually identify sinkholes. Supported by a geographic information system (GIS), we developed a streamlined model to identify the locations and extents of potential sinkholes using 1.3-ft resolution LiDAR (Light Detection and Ranging) data and applied it to the …

Understanding Cumulative Hazards In A Rustbelt City: Integrating Gis, Archaeology, And Spatial History, Daniel Trepal, Don Lafreniere

Michigan Tech Publications, Part 1

We combine the Historical Spatial Data Infrastructure (HSDI) concept developed within spatial history with elements of archaeological predictive modeling to demonstrate a novel GIS-based landscape model for identifying the persistence of historically-generated industrial hazards in postindustrial cities. This historical big data approach draws on over a century of both historical and modern spatial big data to project the presence of specific persistent historical hazards across a city. This research improves on previous attempts to understand the origins and persistence of historical pollution hazards, and our final model augments traditional archaeological approaches to site prospection and analysis. This study also demonstrates …

Cartographies Of Debt: Auto Title Loans And Spatial Inequality, Michihiro C. Sugata

Humboldt Journal of Social Relations

Despite being a decade removed from the 2008 Financial Crisis, an alarming number of Americans are turning to alternative finance service providers (AFSP) for “short term” loans. These loans typically carry triple digit interest rates and can contribute to exacerbating the financial precarity of the borrowers. This article investigates the relationship between the spatial distribution of the AFSP industry and considers the impacts of this saturated presence on the individuals who live in these neighborhoods. Using the Phoenix metropolitan area as a site of exploration, I examine where the industry has pooled and look at the descriptive characteristics of those …

Real Time Habs Mapping Using Nasa Glenn Hyperspectral Imager, Reid W. Sawtell, Robert Anderson, Roger Tokars, John D. Lekki, Robert Shuchman, Karl Bosse, Michael Sayers

Michigan Tech Publications, Part 1

The hyperspectral imaging system (HSI) developed by the NASA Glenn Research Center was used from 2015 to 2017 to collect high spatial resolution data over Lake Erie and the Ohio River. Paired with a vicarious correction approach implemented by the Michigan Tech Research Institute, radiance data collected by the HSI system can be converted to high quality reflectance data which can be used to generate near-real time (within 24 h) products for the monitoring of harmful algal blooms using existing algorithms. The vicarious correction method relies on imaging a spectrally constant target to normalize HSI data for atmospheric and instrument …

Satellite Monitoring Of Harmful Algal Blooms In The Western Basin Of Lake Erie: A 20-Year Time-Series, Michael Sayers, Amanda Grimm, Robert Shuchman, Karl Bosse, Gary L. Fahnenstiel, Steven A. Ruberg, George A. Leshkevich

Michigan Tech Publications, Part 1

Blooms of harmful cyanobacteria (cyanoHABs) have occurred on an annual basis in western Lake Erie for more than a decade. Previously, we developed and validated an algorithm to map the extent of the submerged and surface scum components of cyanoHABs using MODIS ocean-color satellite data. The algorithm maps submerged cyanoHABs by identifying high chlorophyll concentrations (>18 mg/m3) combined with water temperature >20 °C, while cyanoHABs surface scums are mapped using near-infrared reflectance values. Here, we adapted this algorithm for the SeaWiFS sensor to map the annual areal extents of cyanoHABs in the Western Basin of Lake Erie for the …

Greenway Trail Viewshed Characteristics: Planning Applications Using Gis And Remote Sensing, Aric Addison Beehler

Graduate Theses/Dissertations

This study applies theoretical findings relating greenway trail viewshed characteristics to a proposed greenway trail. Utilizing geographic information systems and remote sensing techniques, this study compares the viewshed characteristics of two proposed routes to connect an existent greenway trail system to Wilson’s Creek National Battlefield in Greene County, MO. Light Detection and Ranging data is then used to map the viewshed of each route and calculate the openness and interconnectedness of each viewshed. High-resolution multispectral imagery is then used to calculate the Normalized Difference Vegetation Index measuring the “greenness” within each viewshed. Finally, parcel-level land use data is used to …

3d Canopy Model Reconstruction From Unmanned Aerial System And Automated Single Tree Extraction, Hai Ha Duong

Graduate Theses/Dissertations

This project aims to develop and assess methodology for spatial modeling and extracting individual trees from high spatial resolution Digital Surface Model (DSMs) derived from unmanned aerial system (UAS) or drone-based aerial photos. Those results could be used for monitoring of vegetative response of forests, grasslands and vineyards to regional and localized fluctuations in climate and seasonality. The primary objective of this research is to extract 3D spatial information using drone-based aerial imagery through photogrammetric methods. UAS flights were taken place at phenologically critical times over several locations owned and managed by Missouri State University (MSU). The 3D DSM can …

Determining The Effect Of Mission Design And Point Cloud Filtering On The Quality And Accuracy Of Sfm Photogrammetric Products Derived From Suas Imagery, Daniel Shay Hostens

Graduate Theses/Dissertations

This research investigates the influence that various flight plan and mission design strategies for collecting small unmanned aerial system (sUAS) imagery have on the accuracy of the resulting three-dimensional models to find an optimal method to achieve a result. This research also explores the effect that using gradual selection to reduce the sparse point cloud has on product accuracy and processing details. Imagery was collected in the spring of 2018 during leaf-off conditions at six field sites along the North Fork of the White River. The aerial imagery was collected using a DJI Phantom Pro 4 sUAS. Four different image …

Assessing How Terrain Representations And Scale Affect The Accuracy Of Distance Estimates, Kristian Mueller

Geography ETDs

Terrain is often displayed on maps either as background or foreground. Although terrain representations are ubiquitous, there is not a thorough understanding of map-readers’ cognition of geographic surfaces from various terrain representations. The research described in this thesis empirically assessed map users’ abilities at estimating straight-line distance using maps with two different types of terrain representations and at three different scales. The objective of this research was to assess how accurately map users estimate distance on the ground taking into account variations in elevation. Participant data in the form of demographics and distance estimates were statistically analyzed to determine if …

Analyzing Trends And Patterns In Adverse Birth Outcomes In Massachusetts From 2000-2014, Madeleine Haynes

Sustainability and Social Justice

This study explores spatio-temporal trends and patterns in adverse birth outcomes (ABO) in the state of Massachusetts from 2000-2014. ABO include low birth weight (< 2500 g) and preterm deliveries (gestational age < 37 weeks). This research evaluates if there are areas in Massachusetts that have experienced statistically significant increases or decreases in ABO throughout the study period. Birth data was obtained from the Massachusetts Department of Public Health and only singleton, live births were included for the analysis. The data were aggregated to census tracts, and the total number of births and the number of ABOs were calculated for each census tract for each year. In total, 1478 census tracts were included in this analysis. Births to non-Hispanic black mothers and births to non-Hispanic white mothers were separated to evaluate if trends in ABO are similar regardless of race as previous literature has identified a much higher rate of ABO in births to non-Hispanic black women. Trends and patterns of ABO were evaluated using the Space Time Cube and the Mann-Kendall statistic and a multivariate regression was conducted to identify potential correlations between socioeconomic factors and prevalence of ABO. Results of this study can be used to identify areas that are experiencing an increase in ABO to potentially allow for more effective, targeted intervention methods.