A Review of Point Pattern Methods for Spatial Modelling of Events Around Sources of Pollution

Abstract

SUMMARYIn assessing the impact of pollution, a key question is whether the risk of certain events (e.g. cases of a disease) is elevated in areas near the source of pollution. We review statistical methods based on point processes for analysis of event locations and counts of events in disjoint census regions.

Statistical Exploration of Local Transmission Routes for African Swine Fever in Pigs in the Russian Federation, 2007-2014

“…Therefore, the hypothesis of local wild boar‐to‐domestic pig transmission was explored by testing for the presence of spatial clustering of domestic outbreaks in low biosecurity farms around wild boar cases. Testing whether cases are clustered around pre‐specified sources has been intensively used in public health for investigating whether the risk of diseases increases around sources of pollution such as incinerators or nuclear installations (Lawson and Waller, ; Tango, ).…”

Statistical Methods for Disease Clustering

“…Regarding review papers on the detection of clustering around putative point sources, see, for example, Hills and Alexander (1989), Muirhead and Darby (1989), Marshall (1991), Elliott, Martuzzi, and Shaddick (1995) and Lawson and Waller (1996).…”

Spatial mediation and moderated effect on FDI performance: Empirical study of Taiwanese firms in China (1999–2008)

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