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Space-Time Kernel Density Estimation/Evidence
Method evidence record

Space-Time Kernel Density Estimation

Space-Time Kernel Density Estimation extends classical KDE into three dimensions — two spatial and one temporal — to reveal how the intensity of point events (crimes, accidents, disease cases) varies continuously across both geographic space and time. It produces a smooth probabilistic surface that highlights where and when events concentrate most densely.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Space-Time Kernel Density Estimation
Taxonomic method record · regression-model / spatial-analysis
  • Nakaya, T., & Yano, K. (2010). Visualising crime clusters in a space-time cube: An exploratory data-analysis approach using space-time kernel density estimation and scan statistics. Transactions in GIS, 14(3), 223-239. · DOI 10.1111/j.1467-9671.2010.01194.x
  • Kernel density estimation. Wikipedia. · URL
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Curated claims

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketHot Spot Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketLocal Kernel Density Estimationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSpace-Time Getis-Ord Gi*machine-suggested · Relational suggestion, not evidence.Taxonomic bucketSpace-Time Local Indicators of Spatial Associationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSpace-Time Spatial Autocorrelationmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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