Multiscale decomposition of spatial lattice data for hotspot detection

DOI10.37920/sasj.2024.58.1.4MaRDI QIDQ6558643

René Stander, Inger Fabris-Rotelli, Dinggeng Chen

Publication date: 19 June 2024

Published in: South African Statistical Journal (Search for Journal in Brave)

zbMATH Keywords

spatial statisticscrimespatial scan statisticsfeature detectionspatial lattice datadiscrete pulse transformCOVID-19hotspot detectionHt-indexlocal Getis-Ordmultiscale Ht-indexmutliscale decomposition

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Random fields; image analysis (62M40) Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to social sciences (62P25)

Cites Work

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• Bayesian hierarchical models for detecting boundaries in areally referenced spatial datasets
• A spatial scan statistic
• On Selection of Spatial Linear Models for Lattice Data
• Applied Spatial Data Analysis with R
• A comparison of spatial scan methods for cluster detection
• LULU Operators and Discrete Pulse Transform for Multidimensional Arrays
• The Roadmaker's Algorithm for the Discrete Pulse Transform
• Saliency, scale and image description

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