This is an updated version of my Making Maps with R tutorial. I think the code is lot simpler and it also includes some data for you to play around with. Background: Spatial data are becoming increasingly common, as are the tools available in R to process it. Of course one of the best ways
I tried using my own little palette with more traditional looking heatmap colors (red and pink are the densest, blue and green are less so, yellow in the middle, etc.). I also included the actual points, but would recommend it for more than a single g...
Fresno Area Urban Areas vs Irrigated LCC: grey regions are current urban areas A couple of maps generated from a 1km gridded soil property database, derived from SSURGO data where available with holes filled with STATSGO data. Soil properties visualize...
Update: new zip, correcting bug found by Steve McIntyre: if(!file.exists(HadSST2ncdf)) downloadHADSST2() if(!file.exists(HadSST2ncdf)) downloadHadSST2() issue pending with another line as well. Checking raster versions. I’ve also, added some code into “downloadHadSST2″ that corrects for the “NA” problem with HadSST. (currently commented out). There is an issue with “ncdf” handling CF standards, which has been addressed in 
I have posted a couple examples in the past on the topic of high quality map production from GRASS GIS-- usually via the Generic Mapping Tools. I am not sure why, but I have previously avoided using the traditional cartographic output module that is bu...
One of the top searches on rubyflow is “conference”. A recent post showed how to create a map with the location of the 2010 R User Conference. So why not expand on the subject and create a map with numerous conference locations thr...
Hic sunt dracones used to be placed on maps, as a way to denote a dangerous or otherwise unexplored territory. We might as well write it all over R-related material used in introductory classes, because students seems to be really (…)
I've spent more years than I care to remember analysing vegetation survey data (typically species abundances in plots) using a variety of software including my own algorithms coded in FORTRAN and C++. A recent query on the r-help list, about how to det...
I've spent more years than I care to remember analysing vegetation survey data (typically species abundances in plots) using a variety of software including my own algorithms coded in FORTRAN and C++. A recent query on the r-help list, about how to determine the number of groups to define in a hierarchical classification produced with the hclust function, prompted...
We've looked before at how you can annotate geographical maps using R, but what if you want to overlay data onto a globe of the Earth, using Google Earth? The RKML package for R (from the OmegaHat project) allows you to do just that, by providing a high-level interface from R to generate KML files, which in turn are...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
