Explores the nearest neighbours method in spatial analysis, covering distribution assessment, R index computation, and statistical testing for clustering.
Explores the structured approach to exploratory spatial data analysis, emphasizing the importance of analytical frameworks and the Visual Seeking Mantra.
Explores spatial regression models, addressing spatial autocorrelation challenges and the concept of spatial lag models to correct biases and improve inference accuracy.
Introduces exploratory data analysis in environmental health, covering its definition, techniques, and applications in georeferenced health data analysis.
Covers interactions between vector layers in GIS, including geometric properties, spatial arrangement, autocorrelation, altitude models, and SQL equivalents.
