Supports the generation of maps based on the results from 'SaTScan' (TM) cluster analysis. The package handles mapping of Spatial and Spatial-Time analysis using the discrete Poisson, Bernoulli, and exponential models of case data generating cluster and location ('GIS') records containing observed, expected and observed/expected ratio for U. S. states (and DC), counties or census tracts of individual states based on the U. S. 'FIPS' codes for state, county and census tracts (locations) using 2000 or 2010 Census areas, 'FIPS' codes, and boundary data. 'satscanMapper' uses the 'SeerMapper' package for the boundary data and mapping of locations. Not all of the 'SaTScan' (TM) analysis and models generate the observed, expected and observed/expected ratio values for the clusters and locations. The user can map the observed/expected ratios for locations (states, counties, or census tracts) for each cluster with a p-value less than 0.05 or a user specified p-value. The locations are categorized and colored based on either the cluster's Observed/Expected ratio or the locations' Observed/Expected ratio. The place names are provided for each census tract using data from 'NCI', the 'HUD' crossover tables (Tract to Zip code) as of December, 2013, the USPS Zip code 5 database for 1999, and manual look ups on the USPS.gov web site.
|Author||Jim Pearson <email@example.com>, with support from 'NCI'.|
|Maintainer||Jim Pearson <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.