Urban Spatial Analytics

Catalog description

Urban Spatial Analytics focuses on developing spatial analysis skills specifically in an urban context, which cuts across various interdisciplinary fields like urban planning, socio-economic development, education, public health, real estate, criminal justice, environmental studies, transportation, and urban demography. This course will equip students with intermediate Geographic Information Systems (GIS) concepts to collect, understand, organize, store, analyze, and visualize complex urban geospatial data. Students will learn about combining and overlaying local urban datasets with regional and national datasets like the US Census to understand spatial relationships and foster critical thinking in addressing urban issues that inform urban and regional policies. Students will gain hands-on training on intermediate and advanced GIS techniques such as geospatial data management (vector and raster), advanced analyses (spatial statistics, proximity analysis, site suitability analysis, cluster analysis, network analysis), modeling techniques (machine learning, deep learning, and applications of geo-AI), visualization techniques, and other applications on solving real-world problems, using ESRI’s product - ArcGIS Pro with advanced extensions as a primary software; however, students will be exposed to other tools/programming languages like ArcGIS Online, Python for GIS, and others.