Kerneldensitykartor
Kerneldensitykartor is a term used in geographic information science to refer to maps that depict the spatial distribution of a variable by applying kernel density estimation to point or event data and presenting the results as a raster or contour map.
The method relies on placing a kernel function, typically Gaussian, at each observed event and summing the
Data requirements include locations of events or incidents, optional weights, and a boundary or mask to constrain
Applications span criminology (crime hot spots), epidemiology (disease clusters), ecology (species sightings), urban planning (footfall density),
Limitations include sensitivity to bandwidth, potential misinterpretation as a probability surface, and reliance on the underlying