It is worth mentioning the commercial module S+SpatialStats for S-PLUS, which covers all the ar-eas mentioned here, and is not available for R. The prospect of such a module, and later of further de-velopment of it, has dampened enthusiasm for user-contributed spatial statistics code over much of the last decade. It is worth bearing in mind that a great deal of the current wealth of packages for R emanates from the work of users lling gaps they saw in S and its commercial offspring
This article sets forth the principle and methodology for implementing spatial database management s...
Geographical Information Systems (G.I.S.) have become powerful tools for integration, visualisation ...
The software for spatial econometrics available in the R system for statistical computing is reviewe...
Geostatistics is a scientific field which provides methods for processing spatial data. In our proj...
When most scientists and analysts have geospatial tasks to perform, they instinctively turn to tradi...
This paper introduces the gstat package for the S language (R, S-PLUS). The package provide
Twenty years have passed since Bivand and Gebhardt (J Geogr Syst 2(3):307–317, 2000. https://doi.org...
This book provides an introduction to the use of R for spatial statistical analysis, geocomputation ...
R is a language similar to S for statistical data analysis, based on modern programming concepts a...
This paper describes the development of a new R package for spatial data and statistics. We review e...
Geospatial data have become an emerging topic in social science research. When we aim to use these d...
We describe the R package geoCount for the analysis of geostatistical count data. The package perfor...
John Fox (2004) has provided a graphical user interface to R called “R Commander”. With this interfa...
This book is intended for anyone who wants to learn how to efficiently analyze geospatial data with ...
Geocodes (Goldberg, Wilson, and Knoblock 2007) are spatial references which are used to identify poi...
This article sets forth the principle and methodology for implementing spatial database management s...
Geographical Information Systems (G.I.S.) have become powerful tools for integration, visualisation ...
The software for spatial econometrics available in the R system for statistical computing is reviewe...
Geostatistics is a scientific field which provides methods for processing spatial data. In our proj...
When most scientists and analysts have geospatial tasks to perform, they instinctively turn to tradi...
This paper introduces the gstat package for the S language (R, S-PLUS). The package provide
Twenty years have passed since Bivand and Gebhardt (J Geogr Syst 2(3):307–317, 2000. https://doi.org...
This book provides an introduction to the use of R for spatial statistical analysis, geocomputation ...
R is a language similar to S for statistical data analysis, based on modern programming concepts a...
This paper describes the development of a new R package for spatial data and statistics. We review e...
Geospatial data have become an emerging topic in social science research. When we aim to use these d...
We describe the R package geoCount for the analysis of geostatistical count data. The package perfor...
John Fox (2004) has provided a graphical user interface to R called “R Commander”. With this interfa...
This book is intended for anyone who wants to learn how to efficiently analyze geospatial data with ...
Geocodes (Goldberg, Wilson, and Knoblock 2007) are spatial references which are used to identify poi...
This article sets forth the principle and methodology for implementing spatial database management s...
Geographical Information Systems (G.I.S.) have become powerful tools for integration, visualisation ...
The software for spatial econometrics available in the R system for statistical computing is reviewe...