Tag Archives: IGN

Computer, Maps, Students

French dataset: population and GPS coordinates

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A short post today based on recent work by @3wen (Ewen Gallic, graduate Student in Rennes, spending a year in Montreal). Since we were working on a detailed French dataset (per commune), we needed a dataset containing a list allcommunes, with population and location. GPS coordinates were extracted from Google, using the following php file, inspired by http://www.andrew-kirkpatrick.com/ on Google geocoding api with php webpage. Population was interpolated from INSEE’s datasets, i.e. http://www.insee.fr/ (since data are over a 35 year period, from 1975 to 2010, changes have been taken into account as carefully are possible – e.g. merges and splits of cities – based on thatdescription). A spline model has been used for all cities (with three degrees of freedom, and null and negative interpolation became one, since we’ll be using loglinear models afterwards). Names are from that dataset, still on INSEE’s website, http://www.insee.fr/.

A zipped file can be downloaded here popfr19752010.zip, but it is also possible to use the code below (it is a 24Mo dataset). Since it was hard to find such a dataset online (different files can be found, but we found none with population and location), we have decided to upload that dataset. Please let us know if there are problems with those data…

> base=read.csv(
+ "http://freakonometrics.free.fr/popfr19752010.csv",
+ header=TRUE)

Using that code, it is possible to locate all the communes in France (metropolitan), for instance

> library(maps)
> map("france")
> points(base$long,base$lat,cex=.1,col="red",pch=19)
> points(base$long,base$lat,cex=2*base$pop_2010/
+ max(base$pop_2010),col="blue",pch=19)

Several additional lines of code on that dataset (and also others) will be uploaded, soon.

Cette oeuvre est mise à disposition sous licence Paternité – Partage à l’Identique 3.0 non transposé. Pour voir une copie de cette licence, visitez http://creativecommons.org/. Date : 24 mai 2012, par Ewen GALLIC. Sources : INSEE, API Google Maps v3 et GeoHack (coordonnées GPS), propres calculs (estimation de population à partir des données INSEE).

  • reg : code region INSEE (character)
  • dep : code departement INSEE (character, corse 201 et 202 au lieu de 2A et 2B)
  • com : code commune INSEE (character)
  • article : article du nom de la commune (character)
  • com_nom : nom de la commune (character)
  • long : longitude (numeric)
  • lat : latitude (numeric)
  • pop_i : estimation de la population à la date i (ramenée à 1 si <=0), i=1975,…,2010 (numeric)
ACT2040, ACT6420, Maps, Spatial

Maps with R, and polygon boundaries

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With R, it is extremely easy to draw maps. Let us start with something simple, like French regions. Baptiste mentioned on his blog that shapefiles can be downloaded from http://ign.fr/ website. Hence, if you extract the zip file, it is possible to get claims frequency per region (as done in the course ACT2040),

> library(maptools)
> library(maps)
> departements<-readShapeSpatial("DEPARTEMENT.SHP")
> region<-tapply(baseFREQ[,"nbre"],
+ as.factor(baseFREQ[,"region"]),sum)/
+ tapply(baseFREQ[,"exposition"],
+ as.factor(baseFREQ[,"region"]),sum)
> depFREQ=rep(NA,nrow(departements))
> names(depFREQ)=as.character(
+ departements$CODE_REG)
> for(nom in names(region)){
+ depFREQ[names(depFREQ)==nom] =
+ region[nom]}
> plot(departements,col=gray((depFREQ-.05)*20))
> legend(166963,6561753,legend=seq(1,0,by=-.1)/20+.05,
+ fill=gray(seq(1,0,by=-.1)),cex=1.25, bty="n")

Another application is on earthquakes. It is possible to use shapefiles of tectonic plates contour, and to relate earthquakes to plates. Shapefiles can be found onhttp://www.colorado.edu/ (here).

http://freakonometrics.blog.free.fr/public/perso4/plate-tekto.gif

First, we can extract the shapes of the tectonic plates

> plates = readShapePoly("plates.shp",
+ proj4string=CRS("+proj=longlat"))
> PP=SpatialPolygons2PolySet(plates)

Consider Montreal,

> montreal=c(-73.600,45.500)

Given that specific location, it is possible to use the following code to get the associated plate,

> PLATE.loc=function(pt){
+ K=NA
+ for(k in 1:17){
+ c=point.in.polygon(pt[1], pt[2],
+ PP[PP$PID==k,c("X")],PP[PP$PID==k,c("Y")],
+ mode.checked=FALSE)
+ if(c>0){K=k}
+ }
+ return(K)}
> abline(v=montreal[1],col="red")
> abline(h=montreal[2],col="red")
> PLATE.loc(montreal)
[1] 1

and then to plot the associated tectonic plate very easily

> PLATE=function(k0){
+ library(maps)
+ map("world")
+ polygon(PP[PP$PID==k0,c("X")],PP[PP$PID==k0,c("Y")],
+ col="red")
+ for(k in (1:17)[-k0]){polygon(PP[PP$PID==k,c("X")],
+ PP[PP$PID==k,c("Y")],col="light blue")}
+ map("world",add=TRUE)}
> PLATE(PLATE.loc(montreal))

Those code were used in the paper written with Mathieu, and that will be presented on January 30th at the Geotop seminar.