Sinopse

Only introductory level text available, bringing together a specialised and widely-dispersed literature Examines the use of GIS and remotely sensed data to understand and predict disease prevalence Includes a wide range of examples taken from both medical and veterinary disciplines, and including both infectious diseases and non-infectious conditions Provides worked examples using a single data set, following standardised nomenclature throughout Structured to follow the logical sequence of description of spatial data, visualisation, exploration, modelling and decision support.

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