Article en français
|Gridding Paris with OpenStreetMap data|
"Gridding for the dummies" ;) with Quantum GIS and QMarxan: In this article, I explain the purpose of gridding, why it is such an efficient way to analyse data within a large community of actors. Actually, gridding can be considered as a transcription of the raster format to the vector one where one tile <=> one cell. Thanks to QMarxan, gridding with QGIS is really simple: you don't need any knowledge in PostGIS, GRASS and R to do it. That's what we'll see: in the end of the post, I detail how to constitute some gridded data through a case study aiming to process a building density analysis on the city of Paris. The article is in French, but the printscreens will be helpful for the understanding.
All the material used in this article is free: Quantum GIS, OpenStreetMap for the buildings and INSEE (equivalent of US Census) for the population data.