Python Hotspot Analysis: Identifying Statistically Significant Spatial Clusters
Using spatial statistics to distinguish meaningful patterns from random noise. Spatial data often exhibits clustering phenomena. Crimes concentrate in specific neighborhoods, disease cases cluster in certain areas, heat forms hotspots, economic activities tend to aggregate, and traffic accidents concentrate at certain intersections. These clusters may represent meaningful patterns that require attention, but they may also … Read more