Transcription of Analysing Spatial Data in R: Worked examples: disease ...
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Analysing Spatial Data in R: Worked examples: disease ...
Analysing Spatial Data in R: Worked examples: disease mapping IRoger BivandDepartment of EconomicsNorwegian School of Economics and Business AdministrationBergen, Norway31 August 2007 disease mappingIDisease mapping is one of the areas of applied statistics thatis developing most rapidly and is in most demandIIt involved both Spatial data and methods ranging fromvisualisation to advanced statisticsIWaller and Gotway discuss many approaches, using, amongother data sets, the classic Scottish lip cancer set by countyIBanerjee, Carlin and Gelfand also discuss the same data set,providing code for a WinBUGS exampleScottish lip cancer data setReading the data as downloaded from Waller and Gotway swebsite, we need first to import the county boundaries and assignthe correct CRS, then transform to the British National Grid:> library(rgdal)> scot_LL <- readOGR(".", "scot")OGR data source with driver: ESRI ShapefileSource: ".
Disease mapping I Disease mapping is one of the areas of applied statistics that is developing most rapidly and is in most demand I It involved both spatial data and methods ranging from visualisation to advanced statistics I Waller and Gotway discuss many approaches, using, among other data sets, the classic Scottish lip cancer set by county
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