Spatial Science Commons^™

Distributed Energy Infrastructure Development: Geospatial & Economic Feasibility In Rural West Virginia, Xinming Andy Zhang

Graduate Theses, Dissertations, and Problem Reports

Energy transition from conventional to centralized power plants, including coal-fired units, is critical for West Virginia’s long-term energy and economic future. The socioeconomic downturn in West Virginia was deeply connected with the dependence on the centralized coal industry and the coal economy. Most traditional coal communities in rural West Virginia struggle to maintain economic viability, potentially leading to outmigrations and poor energy resilience. I investigated the possibility of introducing community-sized distributed energy systems in these rural communities to improve energy resilience and accommodate the future transition from centralized coal-generated energy.

My goal was to identify rural regions where distributed energy …

Using Extended Two-Step Floating Catchment Area To Map Children’S Level Of Access To Physical Books In West Virginia, Heather A. Maxey

Graduate Theses, Dissertations, and Problem Reports

The state of West Virginia lacked a comprehensive, in-depth analysis of the availability of physical books across the state. Access to reading material is vital to a child’s educational development as well as lifelong learning beyond childhood. To guide policy decisions and planning for outreach which addresses reading levels and beyond, I mapped levels of access stemming from socioeconomic barriers, spatial barriers, and an integrated index of both types of barriers. To map spatial access, I utilized a modified Extended Two-Step Floating Catchment Area model, deriving techniques from Hong et al’s 2023 article addressing access for health care in WV. …

Quantifying Water Security In West Virginia And The Potomac River Basin, Eric Carl Edvard Sinius Sjostedt

Graduate Theses, Dissertations, and Problem Reports

All healthy ecosystems, communities, and economies are founded on access to clean, adequate water sources to support ecosystem services, provide clean drinking water, and allow the production of water-intensive goods and services. The state of available water resources must be analyzed through the lens of water security, defined as the capability to safeguard sustainable access to adequate quantities of acceptable quality water for people, the economy, and ecosystems. Mountain regions are sources of freshwater resources for downstream regions, which produce disproportionately higher runoff than downstream regions. As a result, mountain regions are often referred to as natural water towers …

Three Essays On “Energy , Environment, And Developmental Economics”, Bolarinwa Ajanaku

Graduate Theses, Dissertations, and Problem Reports

This dissertation examines topics related to renewable energy development and investment planning, energy markets, environment degradation and economic development. The substantial ecological costs of deforestation are well known and considered globally important due to biodiversity loss, land degradation, soil erosion, and contributions to climate change. The first essay focuses upon understanding the tradeoff between development and deforestation in Africa. In the second essay, spatial analysis and Geographic Information System (GIS) are applied to determine potential locations for wind farms development in the state of West Virginia. Lastly, the third essay examines the role of wind power penetration on wholesale electricity …

Advancing The Spatial Turn In History Through Deep Mapping: Ghost Maps, Neogeography, And Frederick Jackson Turner, Jessica L. Mathai

Graduate Theses, Dissertations, and Problem Reports

The permeation of the spatial turn into the humanities, and in particular history, has both imbued scholarship and opened up new areas for research. This dissertation examines the conceptual and theoretical implications of advancing the spatial turn in history and evaluating existing approaches such as Historical GIS and ghost mapping as a foundation for deep mapping. The resulting deep map developed in this study utilizes Neogeography and web technology in the form of JavaScript Application Programming Interfaces (APIs) to develop a prototype that overcomes many of the limitations that occur when simultaneously integrating multiple sources of data and software functionality, …

A Systematic Method For Measuring Gentrification Using Building Permits Data: A Washington D.C Case Study, Andey Fomil

Graduate Theses, Dissertations, and Problem Reports

Gentrification can significantly alter the socioeconomic, demographic, and commercial aspects of a city. It is a complex process that transforms the characteristics of entire neighborhoods, modifying not only the observable physical aspects, but also the community structure. Traditional quantitative gentrification measurement approaches assess the process through analysis of Census demographic indicators coupled with field visit analysis of the physical built environment. This study proposes a new gentrification measuring approach that combines traditional Census indicators with a new indicator in the form of City Building Permits. Two GIS spatial analysis techniques are utilized to evaluate the effectiveness and accuracy of the …

Putting Policy In Its Place: Policy Enactment And Engagement Through A Multiscalar Policy-Shed Framework, Barbara L. Maclennan

Graduate Theses, Dissertations, and Problem Reports

The objective of this research is to examine the spatial components integral to policy formation, implementation, and evaluation. The research uses solid waste as a case study to explore a multiscalar GIS policy-shed framework. To this end, the goal of this dissertation is to examine the spatial nature of public policy. The research applies spatial concepts and multiscalar methodological applications embedded within GIS and geovisualization to explore the complex spaces surrounding public policy implementation and evaluation.

Ensemble Encoder-Decoder Models For Predicting Land Transformation, Pariya Pourmohammadi

Graduate Theses, Dissertations, and Problem Reports

In studying dynamic and complex processes which are influenced by a system of inter-connected driving variables, it is crucial to apply models that can learn the complexity of the interactions. Land transformation is one of such complex processes, prediction of which can help to mitigate severe climate situations and improve the resiliency of communities. In this study, a multi-spectral set of data cubes is used to capture various characteristics of a geographic region. Based on the data cube, a feature space is constructed using socio-economic attributes, terrain characteristics, and landscape traits of the study region. Two-dimensional and three-dimensional convolutional neural …

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

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 …

An Assessment Of Farmer Participation In The United States Department Of Agriculture, Natural Resources Conservation Services’ Conservation Technical Assistance Program In West Virginia, Matt D. Oliver

Graduate Theses, Dissertations, and Problem Reports

Food and fiber production on America’s farmlands have a major influence on the environment, therefore, soil and water conservation practices are critical. NRCS has provided no-fee technical assistance for nearly 100 years through the Conservation Technical Assistance (CTA) program. The CTA program is essential because it provides technical knowledge directly to farmers for planning and implementing conservation practices that are proven to benefit environmental health and on-farm production. CTA program funds support NRCS staff and training and are thereby the local service delivery vehicle for all NRCS programs. However, in recent years, funding for CTA has remained relatively constant while …

A Deep Dive Into The Land Development Dynamics Of A Complex Landscape, Pariya Pourmohammadi

Graduate Theses, Dissertations, and Problem Reports

Land development is a complex and dynamic process simultaneously interacting with numerous environmental, cultural and economic procedures. In this research we studied past, present and future of land transformation in Appalachia. This dissertation is organized in three-essay format and each essay is focused on one aspect of land development processes in a sub-region in the Appalachian region. In the first essay, deep learning techniques are used to build predictive models for the land development. This study presets deconvolutional neural networks models in predicting land development. On the second essay, spatial data analysis and remote sensing are used to investigate the …

The Environmental, Social, And Economic Benefits Of Blue Green Infrastructure In An Urbanized Area, Joseph L. Oguns

Graduate Theses, Dissertations, and Problem Reports

At present, it is evident that there is a shift from rural to an urban settlement which results in high demand for residential buildings and other urban infrastructure. Blue – Green Infrastructure (BGI) is a system of using blue (water) and green (nature) to address urban and environmental challenges. The purpose of this study is to evaluate the environmental, social, and economic benefits of blue-green infrastructure in an urbanized area in Pittsburgh, Pennsylvania, USA. The study involves the utilization of Geographic Information System (GIS) to determine water quality level resulting from nonpoint source pollution through acquiring elevation data; watershed; and …

Object-Based Supervised Machine Learning Regional-Scale Land-Cover Classification Using High Resolution Remotely Sensed Data, Christopher A. Ramezan

Graduate Theses, Dissertations, and Problem Reports

High spatial resolution (HR) (1m – 5m) remotely sensed data in conjunction with supervised machine learning classification are commonly used to construct land-cover classifications. Despite the increasing availability of HR data, most studies investigating HR remotely sensed data and associated classification methods employ relatively small study areas. This work therefore drew on a 2,609 km2, regional-scale study in northeastern West Virginia, USA, to investigates a number of core aspects of HR land-cover supervised classification using machine learning. Issues explored include training sample selection, cross-validation parameter tuning, the choice of machine learning algorithm, training sample set size, and feature selection. A …

Multidimensional Analysis Of Vulnerability: Methodological Advances And A Case Study From Malawi., Park Mcmillan Muhonda

Graduate Theses, Dissertations, and Problem Reports

Since 1990s rural households in Malawi, constituting 85% of the population, have experienced deepening livelihood vulnerability, often manifested as persistent food insecurity. Livelihood crises have since been blamed on or attributed directly to weather perturbations/climatic shocks i.e. El-Nino induced climate variability/drought conditions. This study revealed that persistent livelihood crisis in rural Malawi cannot be attributed to or squarely blamed on weather shocks alone, rather it is at the intersection of various livelihoods shocks that rural livelihood vulnerability in Malawi is exacerbated i.e. worsening and deepening.

Thus, rural livelihood vulnerability to climate shocks in Malawi is manifest not in isolation but …