Detecting spatial cancer patterns using the adaptive kernel density – A feasibility study

Dorothea Lemke, Volkmar Mattauch & HW Hense
Background/Objectives: In spatial cancer epidemiology cancer cluster methods are an important tool to explore the spatial variation of cancer incidences in defined regions. There are many cluster detection methods used in spatial epidemiology. The point pattern analysis (PPA) is one of them, but[for full text, please go to the a.m. URL]