How to make R, PostGIS and QGis cooperate for statistical modelling duties: a case study on hedonic regressions

Abstract : We describe in this communication how we managed to make R, PostGIS and QGis work together to assist us in our econometric modelling of housing prices. We have evaluated different combinations of these three pieces of software that we have used extensively during the course of this research, to finally converge to the system that we are currently using. We were concerned mainly with performance (as large amounts of data are involved), spatial query capabilities, easiness to compute new spatial indicators and to take them into account in the statistical modelling, and finally spatial visualisation of statistical results and map production. As it is often the case with open source software, several possibilities exist to connect the pieces of software two by two. We tried some of them and give an insight on the results of our experiments.
Document type :
Conference papers
Complete list of metadatas

Cited literature [2 references]  Display  Hide  Download

https://halshs.archives-ouvertes.fr/halshs-00737397
Contributor : Olivier Bonin <>
Submitted on : Monday, October 1, 2012 - 4:35:51 PM
Last modification on : Friday, January 5, 2018 - 2:58:03 PM
Long-term archiving on : Wednesday, January 2, 2013 - 8:15:09 AM

File

bonin_V2.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : halshs-00737397, version 1

Citation

Olivier Bonin. How to make R, PostGIS and QGis cooperate for statistical modelling duties: a case study on hedonic regressions. Open Source Geospatial Research and Education Symposium (OGRS) 2012, Oct 2012, Yverdon-les-Bains, Switzerland. pp.1. ⟨halshs-00737397⟩

Share

Metrics

Record views

489

Files downloads

1349