With Ewen (aka @3wen), not only we have been playing on Twitter this month, we have also been working on kernel estimation for densities of spatial processes. Actually, it is only a part of what he was working on, but that part on kernel estimation...
The main question when using remote sensed raster data, as we do, is the question of NaN-treatment. Many R functions are able to use an option like rm.NaN=TRUE to treat these missing values. In our case the kmeans function in R is not capable to use such a parameter. After reading the tif-files and creating
In my last post I was explaining the usage of QGis to do a layerstack of a Landsat-scene. Due to the fact that further research and trying out resulted in frustration I decided to stick with a software I know well: R. So download the needed layers here and open up your flavoured version of
If I would like to adjust a shape file I normally used the way over an excel file or a text file to get a table and to join this with an existing shape file. Due to the sp and rgdal packages in R you can manipulate shapefiles directly in R: now lets map the
Saw a map produced by my previous student using a commercial GIS software.Using R raster package and data from diva-gis.org. I produced the same map
My first package, zipcode, is now available on CRAN. It contains the CivicSpace database of 43,191 U.S. zip codes.
The R community is very generous and collaborative. This post walks through the suggestions left by commenters to my previous post on Steve Mosher's Nightlights work, and show the resulting much-improved output.
A global source of population density has been on my low-priority wish list for some time, so I was very excited when I found Steve Mosher’s work with the Nighlights data set. “Nightlights” refers to the artificial lights seen from space at night. Astronomers call it “light pollution” which is pretty accurate since it’s decidedly 
The ggplot2 package offers powerful tools to plot data in R. The plots are designed to comply with the “grammar of graphics” philosophy and can be produced to a publishable level relatively easily. For users wishing to create a good map without too much thought I would recommend this worksheet. For those without their own
Over the last couple of days I have utilised some excellent free GIS resources. I have listed these and some others below. Geospatial Analysis: This is the free online version of de Smith, Longley and Goodchild’s excellent book by the same title. It provides full coverage of current GIS methodologies. It also provides extensive information
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
