Abstract | ||
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is a language similar to for statistical data analysis, based on mod- ern programming concepts and released under the GNU General Public License. It permits the integration of program scripts with compiled dynamically loaded li- braries of functions when computing speed is important. Following a broad outline of existing collections of functions for spatial statistics written for , we show how they may be ported to , 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 functions for spatial statistical analysis, and their application to standard data sets. Both the develop- ment of , and of these functions, is on-going, but have now reached a critical mass making an attractive platform for teaching and applying spatial statistics. |
Year | DOI | Venue |
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2000 | 10.1007/PL00011460 | Journal of Geographical Systems |
Keywords | Field | DocType |
Key words: Spatial statistics,data analysis,R programming language,JEL classifications: C10,C88,R15 | Econometrics,Spatial analysis,Geographic information system,Programming language,R Programming Language,Operations research,Porting,Economic data,Geography,License,Statistical analysis,Scripting language | Journal |
Volume | Issue | ISSN |
2 | 3 | 1435-5930 |
Citations | PageRank | References |
6 | 0.81 | 2 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Roger Bivand | 1 | 15 | 3.12 |
Albrecht Gebhardt | 2 | 16 | 3.88 |