Hot spot analysis using kernel density is a spatial analysis technique used to identify areas with high concentrations of a particular event or phenomenon within a geographic area. It's commonly used in geographic information systems (GIS) to study patterns, like crime hot spots, disease outbreaks, or environmental changes, and to identify where certain activities or occurrences are concentrated.
Steps in Hot Spot Analysis Using Kernel Density:
Kernel Density Estimation (KDE):
This is a statistical method that uses a smoothing function (called a kernel) to estimate the density of events or features at each location within a study area.
It takes a set of points (e.g., locations of crimes, dise...