Spatial analysis for epidemiology.

By A. Graham, Peter M. Atkinson, F. Danson. Acta Tropica, 2004

411 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Visualising Crime Clusters in a Space‐time Cube: An Exploratory Data‐analysis Approach Using Space‐time Kernel Density Estimation and Scan Statistics (2010, background): “…geographical search limit for scan statistics is crucial since it is well known that if it is too large, spatial scan statistics are likely to provide a few extra-large and low-risk clusters (Pfeiffer et al. 2008) that are generally useless for facilitating practical local policing activities.”
Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables (2018, background): “, 2005), epidemiology (Moore 45 and Carpenter, 1999; Graham et al., 2004), natural hazard monitoring (Dubois, 2005) and climatology 46 (Hudson and Wackernagel, 1994; Hartkamp et al.”
Species Distribution Modeling and Ecological Niche Modeling: Getting the Concepts Right (2012, background): “One paper (Rodder & Engler 2011) discussed metrics of niche overlap and cited key concepts and references, but did not enter into detail about means of comparison and manipulation that they recommended (Warren et al.”