Diffusion Smoothing for Spatial Point Patterns
Traditional kernel methods for estimating the spatially-varying density of points in a spatial point pattern may exhibit unrealistic artefacts,in addition to the familiar problems of bias and over or under-smoothing.Performance can be improved by using diffusion smoothing, in which thesmoothing kern...
| Main Authors: | Baddeley, Adrian, Davies, Tilman M, Rakshit, Suman, Nair, Gopalan, McSwiggan, Greg |
|---|---|
| Format: | Journal Article |
| Language: | English |
| Published: |
Institute of Mathematical Statistics
2022
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| Subjects: | |
| Online Access: | http://purl.org/au-research/grants/arc/DP130104470 http://hdl.handle.net/20.500.11937/91583 |
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