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Introduces Geographically Weighted Regression, a spatially explicit approach to measure relationships between variables with location-specific outputs.
Introduces exploratory data analysis in environmental health, covering its definition, techniques, and applications in georeferenced health data analysis.
Explores spatial regression models, addressing spatial autocorrelation challenges and the concept of spatial lag models to correct biases and improve inference accuracy.
Explores neighborhood identities, attachment, and perceptions, emphasizing the importance of understanding how individuals relate to their living spaces.
