Diffusion Smoothing for Spatial Point Patterns

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...

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Bibliographic Details
Main Authors: Baddeley, Adrian, Davies, Tilman M, Rakshit, Suman, Nair, Gopalan, McSwiggan, Greg
Format: Journal Article
Language:English
Published: Institute of Mathematical Statistics 2022
Subjects:
Science & Technology
Physical Sciences
Statistics & Probability
Mathematics
Adaptive smoothing
bandwidth
heat kernel
kernel estimation
lagged arrival method
Richardson extrapolation
BANDWIDTH SELECTION
DENSITY-ESTIMATION
CROSS-VALIDATION
KERNEL
INTENSITY
ESTIMATORS
MATRICES
LATTICE
Online Access:http://purl.org/au-research/grants/arc/DP130104470
http://hdl.handle.net/20.500.11937/91583

Internet

http://purl.org/au-research/grants/arc/DP130104470
http://hdl.handle.net/20.500.11937/91583

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