Supporting Functions and Data for Geo-Spatial Analytics Courses at UTDallas, Texas

A collection of functions and data - mostly from Texas - is provided. These are used as teaching tools for geo-spatial data analytics courses in the GISciences program at The University of Texas at Dallas. In addition, several vignettes illustrate geo-spatial data analytics practices, such as relative risk kernel density estimations based on food store locations within Dallas County or the identification of homogenous and spatially contiguous market areas built on socio-economic, demographic and infrastructure census information. The spatial resolution of the data-sets ranges from 1623 food store locations, over geo-referenced areal data of 258 Texan counties, to 529 census tracts as well as 1669 block groups in Dallas County. Cartographic, specialized regression and data handling functions are provided.


Reference manual

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0.5.3 by Michael Tiefelsdorf, a year ago

Browse source code at

Authors: Michael Tiefelsdorf [aut, cre] , Yongwan Chun [ctb] , Laila Al Aswad [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports sp, maptools, RColorBrewer, classInt, Formula

Suggests spatstat, smacpod, colorspace, car, effects, rgdal, spdep, DMwR, ClustGeo, knitr, rmarkdown, testthat

See at CRAN