Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"Geographic information science (GIS)"”.
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Cooperative roles of geographic information science in identifying boundary uncertainty : a case study in The Bureau of Land Management's Manzano Wilderness Study Area
Advances in the development and accuracy of Geographic Information Science (GIS) in concert with the rapid development of advanced microprocessors and computer software have resulted in widely available survey data. No longer held captive by the discipline of surveying, this data is currently being …
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Methodology and Algorithm Development for Historical Addresses
Historical GIS is a unique relationship between historical studies, geography, and geographic information science (GIS). This area of study combines several components of various fields and the use of new techniques and technologies to yield new questions, answers, and perspectives on datasets. In …
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A GIS Approach to Understanding Mississippian Settlement Patterns in the Central Illinois River Valley
Geographic Information Science (GIS) technologies have helped to further the research of archaeologists almost since the inception of the field. Archaeologists have long made observations rooted in what would become GIS, but it wasn’t until the early 21st century that science was able to back up …
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Leveraging Open-Source and Crowdsourced Data to Evaluate Spatial Justice in Cultural Planning
… fueled by the abundance of digital information, data are increasingly being positioned as a "common language" for interrogating the built environment. These claims perceive data as neutral representations of reality, overlooking the social, political, and institutional contexts that …
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Spatiotemporal approaches to understanding environmental justice and multi-contextual segregation
… datasets that include people’s daily travel information–– addresses several methodological problems (e.g., the uncertain geographic context problem and the modifiable areal unit problem) that may have undermined the reliability of the findings of previous residence-based studies. The findings …
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A Geospatial and Machine Learning Framework for Forecasting Ground Level Ozone Pollution
<p>The major detrimental health effects of ground-level ozone (GLO) pollution make it imperative that both policy makers and ordinary citizens have access to high accuracy, high-resolution forecasts of their local area. Recently, advancements in computing power have made it possible to apply …