AM-08 - Kernels and density estimation

You are currently viewing an archived version of Topic Kernels and Density Estimation. If updates or revisions have been published you can find them at Kernels and Density Estimation.

Learning Objectives: 
  • Describe the relationships between kernels and classical spatial interaction approaches, such as surfaces of potential
  • Outline the likely effects on analysis results of variations in the kernel function used and the bandwidth adopted
  • Explain why and how density estimation transforms point data into a field representation
  • Explain why, in some cases, an adaptive bandwidth might be employed
  • Create density maps from point datasets using kernels and density estimation techniques using standard software
  • Differentiate between kernel density estimation and spatial interpolation