| dc.contributor.author | Bivand, Roger S. | |
| dc.contributor.author | Gebhardt, Albrecht | |
| dc.date.accessioned | 2008-12-17T11:38:45Z | |
| dc.date.available | 2008-12-17T11:38:45Z | |
| dc.date.issued | 1998 | |
| dc.identifier.issn | 1503-2701 | |
| dc.identifier.uri | http://hdl.handle.net/11250/162358 | |
| dc.description.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. | en |
| dc.language.iso | eng | en |
| dc.publisher | University of Bergen. Department of Geography | en |
| dc.relation.ispartofseries | Geografi i Bergen | en |
| dc.relation.ispartofseries | 223 | en |
| dc.title | Implementing functions for spatial statistical analysis using the R language | en |
| dc.type | Research report | en |
| dc.subject.nsi | VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551 | en |
| dc.subject.nsi | VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Statistikk: 412 | en |
