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Hotspot detection and clustering: ways and means

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Abstract

This paper reviews the development of methods for the analysis of hotspots and clustering. Discussion focusses on different data types and the usefulness of density estimation, scan testing and model-based approaches to clustering. Various application areas are considered ranging from ecology, over health mapping to genomics and landscape analysis. A discussion of software availability is also provided.

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  1. Division of Biostatistics & Epidemiology, College of Medicine, Medical University of South Carolina, Charleston, SC, USA

    Andrew B. Lawson

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  1. Andrew B. Lawson
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Correspondence to Andrew B. Lawson.

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Lawson, A.B. Hotspot detection and clustering: ways and means. Environ Ecol Stat 17, 231–245 (2010). https://doi.org/10.1007/s10651-010-0142-z

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  • DOI: https://doi.org/10.1007/s10651-010-0142-z

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