Spatial Science Commons^™

Coal Mining Sector Contribution To Environmental Conditions And Human Development Index In East Kalimantan Province, Kunny Izza Indah Afkarina, Sindhung Wardana, Poerborini Damayanti

Journal of Environmental Science and Sustainable Development

Coal mining has been one of the issues that led to pros and cons in Indonesia. Research shows that mining activities are one of the factors that affect people’s incomes and local and national economic development. However, mining is a lucrative activity that leads to construction booms that attract population growth and lead to deforestation, thus affecting the environmental conditions of a region. The coal mining industry of Indonesian province of East Kalimantan, on the island of Borneo, provides most of the economic base needed to build the infrastructure and provide energy of the country. Kalimantan Province accounts for approximately …

Late Jurassic Dinosaurs On The Move, Gastroliths And Long-Distance Migration, Josh Malone

Geography: Student Scholarship & Creative Works

The Jurassic Morrison Formation of the Rocky Mountain and Colorado Plateau regions is famous for its dinosaur fossils. The Morrison Formation (150-157 Ma) is comprised mostly of sandstone and mudstone that was deposited in a terrestrial deposition system that included fluvial, paludal, and lacustrine environments. Paleocurrent data indicates that Morrison sediment was transported to the north and east. Within the Morrison Formation, we find exotic pebble and cobble-size durable clasts of quartzite, chert and vein quartz weathering out of the mudstone paleosols. We interpret these exotic clasts as gastroliths, carried within the gastric mills of dinosaurs. For this study, we …

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 …

The Effects Of Urban Development And The Incidence Of Flooding And Discharge Changes From 1956-2016: A Case Study From Juan Diaz Township, Republic Of Panama, Virgilio De Jesus Quintero Rodriguez

Graduate Theses and Dissertations

The increase in flood occurrences in the Township of Juan Diaz has affected thousands of families and hundreds of businesses and has negatively impacted the lives of thousands of residents, who expect the worse every time there is a prolonged period of rain. Some of the residents lose their appliances, cars, furniture and houses every year. This study examines the relationship between urban development and flooding. Also, it addresses the influences of topography, green cover, population changes, runoff changes, and social dynamics on this relationship. This study implemented the use of thematic cartography, geographic information systems (GIS), personal interviews and …

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 …

Mapping Time-Space Brickfield Development Dynamics In Peri-Urban Area Of Dhaka, Bangladesh, Mohammad Mehedy Hassan, Levente Juhasz, Jane Southworth

GIS Center

Due to the high demand for cheap construction materials, clay-made brick manufacturing has become a thriving industry in Bangladesh, with manufacturing kilns heavily concentrated in the peripheries of larger cities and towns. These manufacturing sites, known as brickfields, operate using centuries-old technologies which expel dust, ash, black smoke and other pollutants into the atmosphere. This in turn impacts the air quality of cities and their surroundings and may also have broader impacts on health, the environment, and potentially contribute to global climate change. Using remotely sensed Landsat imagery, this study identifies brickfield locations and areal expansion between 1990 and 2015 …

Institutional Arrangements For The Blue Economy: Marine Spatial Planning A Way Forward, Daud Hassan, Md. Ashraful Alam Ashraf

Journal of Ocean and Coastal Economics

Blue Economy is one of the important aspects of Sustainable Ocean Governance as it refers to sustainable use of ocean resources for economic growth and improved livelihood by maintaining healthy marine ecosystem. In order to achieve sustainable ocean governance, it is important to implement the contemporary and newly developed principles and concepts including Blue Economy and Ecosystem based management (EBM). As an implementation toll for sustainable ocean governance, Marine Spatial Planning (MSP) can play an important role to achieve the objectives of Blue Economy. Due to various reasons, the current institutional arrangements for sustainable ocean govern as well as exploring …

Analysis Of Flickr, Snapchat, And Twitter Use For The Modeling Of Visitor Activity In Florida State Parks, Hartwig H. Hochmair, Levente Juhasz

Levente Juhasz

Spatio-temporal information attached to social media posts allows analysts to study human activity and travel behavior. This study analyzes contribution patterns to the Flickr, Snapchat, and Twitter platforms in over 100 state parks in Central and Northern Florida. The first part of the study correlates monthly visitor count data with the number of Flickr images, snaps, or tweets, contributed within the park areas. It provides insight into the suitability of these different social media platforms to be used as a proxy for the prediction of visitor numbers in state parks. The second part of the study analyzes the spatial distribution …

Bridging The Map? Exploring Interactions Between The Academic And Mapping Communities In Openstreetmap, A.Yair Grinberger, Marco Minghini, Levente Juhasz, Peter Mooney, Godwin Yeboah

Levente Juhasz

No abstract provided.

Comparing The Spatial And Temporal Activity Patterns Between Snapchat, Twitter And Flickr In Florida, Levente Juhasz, Hartwig H. Hochmair

Levente Juhasz

Social media services generate enormous amounts of spatiotemporal data that can be used to characterize and analyse user activities and social behaviour. Although crowdsourced data have the advantage of comprehensive spatial and temporal coverage compared to data collected in more traditional ways, the various social media platforms target different user groups, which leads to user selection bias. Since data from social media platforms are used for a variety of geospatial applications, understanding such differences and their implications for analysis results is important for geoscientists. Therefore, this research analyses differences in spatial and temporal contribution patterns to three online platforms, namely …

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

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 …

Exploring The Effects Of Pokémon Go Vandalism On Openstreetmap, Levente Juhasz, Hartwig H. Hochmair, Sen Qiao, Tessio Novack

GIS Center

No abstract provided.

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 …

Misrecognition In A Sustainability Capital: Race, Representation, And Transportation Survey Response Rates In The Portland Metropolitan Area, Raoul S. Liévanos, Amy Lubitow, Julius A. Mcgee

Sociology Faculty Publications and Presentations

US household transportation surveys typically have limited coverage of and responses from people of color (POC), which may lead to inaccurate estimation of POC transportation access and behavior. We recast this technocratic understanding of representativeness as a problem of “racial misrecognition” in which racial group difference is obscured yet foundational for distributive transportation inequities and unsustainability. We linked 2008–2012 population and housing data to an apparent stratified random sample of 6107 household responses to the 2011 Oregon Household Activity Survey (OHAS) in a “sustainability capital”: the Portland, Oregon metropolitan area. We detailed how the 2011 OHAS consistently overrepresented White households …

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

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 …

The Politics Of Where: The Federal Government And Canada's Urbanization, 1867-2017, Charles D. Crenna

Electronic Thesis and Dissertation Repository

This dissertation responds to a single overarching research question: what is the nature and extent of the federal government’s influence on urbanization in Canada, both on its systems of cities and on their internal structure? Lessons learned regarding the federal role in Canada’s urbanization remain relevant and applicable to emerging conditions. They offer a sound, streetwise foundation for future urban policy development, based on understanding the vital politics of where.

Large, complex systems of cities are both self-organizing and responsive to strategic guidance by the federal government. Politically-difficult choices among competing urban locations can be made both by hiding …

Planning For Industrial Land And Industrial Jobs: An Evaluation Of New York City's Industrial Business Zone Program, Jennifer Davis

Masters Theses

In recent years, industrial preservation policies, which aim to preserve urban industrial activity and industrial employment often through the preservation of industrial land, have emerged as a flashpoint in cities across the country that have implemented these policies. While critics contend that industrial preservation policies amount to smokestack chasing in “post-industrial” cities like New York City, industrial preservationists argue that such policies help to preserve well-paying, middle-class jobs and thus represent a tool to mitigate rising income inequalities in cities. Despite considerable attention to these policies, minimal research has evaluated the effectiveness of industrial preservation policies as land use and …

Comparing The Spatial And Temporal Activity Patterns Between Snapchat, Twitter And Flickr In Florida, Levente Juhasz, Hartwig H. Hochmair

GIS Center

Social media services generate enormous amounts of spatiotemporal data that can be used to characterize and analyse user activities and social behaviour. Although crowdsourced data have the advantage of comprehensive spatial and temporal coverage compared to data collected in more traditional ways, the various social media platforms target different user groups, which leads to user selection bias. Since data from social media platforms are used for a variety of geospatial applications, understanding such differences and their implications for analysis results is important for geoscientists. Therefore, this research analyses differences in spatial and temporal contribution patterns to three online platforms, namely …

Analysis Of Flickr, Snapchat, And Twitter Use For The Modeling Of Visitor Activity In Florida State Parks, Hartwig H. Hochmair, Levente Juhasz

GIS Center

Spatio-temporal information attached to social media posts allows analysts to study human activity and travel behavior. This study analyzes contribution patterns to the Flickr, Snapchat, and Twitter platforms in over 100 state parks in Central and Northern Florida. The first part of the study correlates monthly visitor count data with the number of Flickr images, snaps, or tweets, contributed within the park areas. It provides insight into the suitability of these different social media platforms to be used as a proxy for the prediction of visitor numbers in state parks. The second part of the study analyzes the spatial distribution …

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 …

Bridging The Map? Exploring Interactions Between The Academic And Mapping Communities In Openstreetmap, A.Yair Grinberger, Marco Minghini, Levente Juhasz, Peter Mooney, Godwin Yeboah

GIS Center

No abstract provided.

Evaluating Visible Derivative Spectroscopy By Varimax-Rotated, Principal Component Analysis Of Aerial Hyperspectral Images From The Western Basin Of Lake Erie, Joseph D. Ortiz, Dulci M. Avouris, Stephan J. Schiller, Jeffrey C. Luvall, John D. Lekki, Roger P. Tokars, Robert C. Anderson, Robert Shuchman, Michael Sayers, Richard Becker

Michigan Tech Publications

The Kent State University (KSU) spectral decomposition method provides information about the spectral signals present in multispectral and hyperspectral images. Pre-processing steps that enhance signal to noise ratio (SNR) by 7.37–19.04 times, enables extraction of the environmental signals captured by the National Aeronautics and Space Administration (NASA) Glenn Research Center's, second generation, Hyperspectral imager (HSI2) into multiple, independent components. We have accomplished this by pre-processing of Level 1 HSI2 data to remove stripes from the scene, followed by a combination of spectral and spatial smoothing to further increase the SNR and remove non-Lambertian features, such as waves. On average, …

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

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

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 …

The Long-Run Effects Of Tropical Cyclones On Infant Mortality, Isabel Miranda

Master's Theses

In the United States alone, each tropical cyclone causes an average of $14.6 billion worth of damages. In addition to the destruction of physical infrastructure, natural disasters also negatively impact human capital formation. These losses are often more difficult to observe, and therefore, are over looked when quantifying the true costs of natural disasters. One particular effect is an increase in infant mortality rates, an important indicator of a country’s general socioeconomic level. This paper utilizes a model created by Anttila-Hughes and Hsiang, that takes advantage of annual variation in tropical cyclones using annual spatial average maximum wind speeds and …

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

MSU Graduate Theses

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 …