Using R to implement spatial analysis in open source environment

Yixi Shao; Dong Chen; Bo Zhao

doi:10.1117/12.761851

26 July 2007 Using R to implement spatial analysis in open source environment

Yixi Shao, Dong Chen, Bo Zhao

Proceedings Volume 6753, Geoinformatics 2007: Geospatial Information Science; 67530N (2007) https://doi.org/10.1117/12.761851
Event: Geoinformatics 2007, 2007, Nanjing, China

Abstract

R is an open source (GPL) language and environment for spatial analysis, statistical computing and graphics which provides a wide variety of statistical and graphical techniques, and is highly extensible. In the Open Source environment it plays an important role in doing spatial analysis. So, to implement spatial analysis in the Open Source environment which we called the Open Source geocomputation is using the R data analysis language integrated with GRASS GIS and MySQL or PostgreSQL. This paper explains the architecture of the Open Source GIS environment and emphasizes the role R plays in the aspect of spatial analysis. Furthermore, one apt illustration of the functions of R is given in this paper through the project of constructing CZPGIS (Cheng Zhou Population GIS) supported by Changzhou Government, China. In this project we use R to implement the geostatistics in the Open Source GIS environment to evaluate the spatial correlation of land price and estimate it by Kriging Interpolation. We also use R integrated with MapServer and php to show how R and other Open Source software cooperate with each other in WebGIS environment, which represents the advantages of using R to implement spatial analysis in Open Source GIS environment. And in the end, we points out that the packages for spatial analysis in R is still scattered and the limited memory is still a bottleneck when large sum of clients connect at the same time. Therefore further work is to group the extensive packages in order or design normative packages and make R cooperate better with other commercial software such as ArcIMS. Also we look forward to developing packages for land price evaluation.

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Yixi Shao, Dong Chen, and Bo Zhao "Using R to implement spatial analysis in open source environment", Proc. SPIE 6753, Geoinformatics 2007: Geospatial Information Science, 67530N (26 July 2007); https://doi.org/10.1117/12.761851

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KEYWORDS

Spatial analysis

Geographic information systems

Data modeling

Data analysis

Databases

Open source software

Clouds

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