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- 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