Web Reference: Exploratory Spatial Data Analysis (ESDA) encompasses a number of techniques for analyzing spatial data. We organize it here as a set of ‘best practices’ for getting to know your data in preparatio for or in concert with more complex forms of analysis. This workshop covers techniques for modeling our spatial data to uncover relationships and predict spatial outcomes. Concepts covered include Exploratory Regression, Generalized Linear Regression, Geographically Weighted Regression, and Local Bivariate Relationships. This two-part spatial statistics tutorial was put together by Anais Ladoy, Isaac Kamber, Marynia Kolak, Julia Koschinsky, and Luc Anselin, and focuses on using Array of Things sensor data to create map visualizations and perform spatial analysis.
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Workshop Exploratory Spatial Data Analysis - Latest Information & Updates 2026 Information & Biography
Details: $7M - $18M
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Last Updated: April 4, 2026
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