Download e-book for iPad: Spatial Analysis in Epidemiology (Oxford Biology) by Mark Stevenson, Kim B. Stevens, David J. Rogers, Archie C.A.

By Mark Stevenson, Kim B. Stevens, David J. Rogers, Archie C.A. Clements, Dirk U. Pfeiffer, Timothy P. Robinson

This publication comprises extra sorts of spatial analyses than i've got formerly visible lower than one roof, in an effort to communicate. although, it doesn't conceal any analyses intimately, nor does it supply any labored examples! for this reason, this booklet isn't really acceptable in case you are new to spatial stats or who want a few useful adventure with them. For practitioners who're already acquainted with uncomplicated spatial analyses (e.g. Moran's I, semivariance), then the publication bargains a few comparable tools and does a pleasant task of concisely summarizing and evaluating assorted assessments.

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Extra resources for Spatial Analysis in Epidemiology (Oxford Biology)

Sample text

The term ‘choropleth’ is derived from the Greek khoros, meaning ‘place’ and plethein, meaning ‘to be full, or to become full’. 2 Choropleth map showing the prevalence of TB-test positive cattle herds in Great Britain (expressed as the number of TB-positive holdings per 100,000 holdings) for 1985–1997. derivative, a choropleth map shows information by ‘filling’ (colouring) each component area with colour, providing an indication of the magnitude of the variable of interest. Fig. 2 is an example of a choropleth map showing the prevalence of TB-test positive cattle herds in Great Britain aggregated by county for 1999.

1 Maps illustrating (a) first-order adjacency (neighbours), and (b) second-order adjacency (neighbours-of-neighbours). In each instance the black county is the polygon of interest and the light-grey counties the defined neighbours. 1 Moran’s I Moran’s I coefficient of autocorrelation is similar to Pearson’s correlation coefficient, and quantifies the similarity of an outcome variable among areas that are defined as spatially related (Moran 1950). 1) where Zi could be the residuals (Oi – Ei) or standardized mortality or morbidity ratio (SMR) of an area, and Wij is a measure of the closeness of areas i and j.

2006) to investigate spatial autocorrelation of cases of childhood acute leukaemia in France between 1990 and 2000, and by Perez et al. (2002) to investigate clustering of bovine TB in Argentina. Nødtvedt et al. (2007) use Moran’s I to assess autocorrelation of incidence rates of canine atopic dermatitis in Sweden. 2 Geary’s c Geary’s contiguity ratio, or Geary’s c, is another weighted estimate of spatial autocorrelation (Geary 1954) but whereas Moran’s I considers similarity between neighbouring regions, Geary’s c considers similarity between pairs of regions.

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