Heather Baier

Heather Baier

Assistant Professor,
School of Geographical Sciences and Urban Planning
  • [email protected]
  • Mail code: 5302
    Campus: Tempe
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Long Bio

Heather Baier is a computational geographer whose work bridges geography, artificial intelligence, and data science to understand human and environmental systems. Her research develops spatial deep learning methods that integrate satellite imagery with geospatial data, with a particular focus on how place, scale, and spatial uncertainty shape model performance and interpretation. She studies how geospatial AI can be applied to questions of mobility, inequality, education, and development, while also advancing methods that address challenges unique to spatial data, such as spatial imprecision and autocorrelation.

Education
  • Ph.D. Computational Geography, William & Mary 2021 - 2025
  • B.S. Data Science, William & Mary 2016 - 2020
Google Scholar URL
https://scholar.google.com/citations?user=9-zNLYsAAAAJ&hl=en
Research Interests

Geospatial Artificial Intelligence (GeoAI), Remote Sensing, Spatial Imprecision & Uncertainty, Spatial Autocorrelation & Heterogeneity, Inequality & Development, AI for Social Impact

Courses
2026 Spring
Course Number Course Title
GIS 521 GIS Programming
2025 Fall
Course Number Course Title
GIS 311 Geographic Info Science III
GIS 311 Geographic Info Science III
GIS 311 Geographic Info Science III
GIS 311 Geographic Info Science III
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