Share Email Print

Proceedings Paper

Statistics analysis embedded in spatial DBMS
Author(s): Rongguo Chen; Siqing Chen
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This article sets forth the principle and methodology for implementing spatial database management system (DBMS) by using open source object-relational DBMS - PostgreSQL. The geospatial data model and spatial analysis and processing operations for spatial objects and datasets can be inserted into the DBMS by extended SQL. To implement the statistics analysis embedded in spatial DBMS, an open source statistical program R is introduced to extend the capability of the spatial DBMS. R is a language and environment for statistical computing and graphics. There is a large sum of statistical methods in the form of packages in R. Many classical and modern spatial statistical techniques are implemented in R environment. PL/R is a loadable procedural language containing most of the capabilities in R language which is extensible and enables user to write DBMS functions and triggers in R language. Therefore, the PL/R will extend its capability of spatial statistics and geostatistics when the two kinds of packages are loaded into R language. The PL/R can be extended without limit so that any new method of statistics analysis embedded into the spatial DBMS becomes very convenient.

Paper Details

Date Published: 28 October 2006
PDF: 8 pages
Proc. SPIE 6421, Geoinformatics 2006: Geospatial Information Technology, 642110 (28 October 2006); doi: 10.1117/12.712952
Show Author Affiliations
Rongguo Chen, State Key Lab. of Resources and Environmental Information Systems (China)
Siqing Chen, State Key Lab. of Resources and Environmental Information Systems (China)

Published in SPIE Proceedings Vol. 6421:
Geoinformatics 2006: Geospatial Information Technology
Huayi Wu; Qing Zhu, Editor(s)

© SPIE. Terms of Use
Back to Top