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Implementing functions for spatial statistical analysis using the R language

Bivand, Roger S.; Gebhardt, Albrecht
Research report
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URI
http://hdl.handle.net/11250/162358
Date
1998
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  • Geografi i Bergen [35]
Abstract
R is a language similar to S

for statistical data analysis, based on modern

programming concepts and released under the GNU General Public License.

It permits the integration of program scripts with compiled dynamically loaded libraries

of functions when computing speed is important. Following a broad outline

of existing collections of functions for spatial statistics written for S, we show how

they may be ported to R, and compare their characteristics.We further demonstrate

how existing work may be extended to topics not yet covered, and how libraries of

functions may be constructed.

Functions for three types of spatial statistics are covered: spatially continuous

data, point pattern data, and area data.We present packaged R functions for spatial

statistical analysis, and their application to standard data sets. Both the development

of R, and of these functions, is on-going, but have now reached a critical

mass making

an attractive platform for teaching and applying spatial statistics.
Publisher
University of Bergen. Department of Geography
Series
Geografi i Bergen
223

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