A hands-on introduction for the increasing number of students and researchers collecting and using spatial data across the social sciences. A definitive 'how to', it takes students and researchers in any discipline from coding to actual applications and uses of R.
"R is a powerful open-source computing tool that supports geographical analysis and mapping. For geographers and 'non-geographers' alike, this text provides an introduction to the use of R for spatial statistical analysis, geocomputation, and the analysis of geographical informa…
"R is a powerful open-source computing tool that supports geographical analysis and mapping. For geographers and 'non-geographers' alike, this text provides an introduction to the use of R for spatial statistical analysis, geocomputation, and the analysis of geographical informa…
"R is a powerful open-source computing tool that supports geographical analysis and mapping. For geographers and 'non-geographers' alike, this text provides an introduction to the use of R for spatial statistical analysis, geocomputation, and the analysis of geographical informa…
This is a proposal for a core text in geocomputation; the use of computational techniques to model and solve problems - population, environment, planning, etc etc - in spatial context. It's multi-disciplinary and inter-disciplinary so this text is a generic primer that looks at:…