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Filtering by: Committee Member Wing, Michael Contributor Leshchinsky, Ben

Advancing Spatial Data Engineering and Analysis: Integrative Approaches with GIS, Statistical Modelling, and Deep Learning

Creator:

Krivova, Maria

Abstract:

Geospatial data analysis is a multifaceted discipline encompassing the collection, processing, and visualization of diverse datasets. It models and delineates the interactions of people, objects, and phenomena within geographical spaces and predicts patterns based on the relationships between different locations. Despite significant advancements in geospatial data engineering and analytics over...

Resource Type:

Dissertation

Full Text:

members: Mike Bailey, Chris Parrish, and Michael Wing, for supporting me in completing the PhD program