This tutorial has been kindly contributed by Robin Edwa
309 search results for "spatial"
A Crash Course in R
This code has been kindly contributed by Robin Edwards
GSoC Proposal 2013: Biodiversity Visualizations using R
I am applying for Google Summer of Code 2013 with this “Biodiversity Visualizations using R” proposal. I am posting this idea to get feedback and suggestions from Biodiversity Informatics community. 
Stamen maps with spplot
Several R packages provide an interface to query map services (Google Maps, Stamen Maps or OpenStreetMap) to obtain raster images …
Session 1: Gridding data for multi-scale macroecological analyses
These are materials for the first practical lesson of the Spatial Scale in Ecology course. All of the data and codes are available here. The class covered a 1.5h session. R code for the session is also at the end … Continue reading →
Agent-based modeling in R – habitat diversity and species richness
How does habitat diversity affect species richness? Perhaps intuition suggests that habitat diversity increases species richness by facilitating niche or resource partitioning among species. But, for a fixed area, as habitat heterogeneity increases, the area that can be allocated to each habitat type decreases. In a recent paper, Allouche and colleagues (2012) provide a theoretical and empirical treatment...
The OpenStreetMap Package Opens Up
A new version of the OpenStreetMap package is now up on CRAN, and should propagate to all the mirrors in the next few days. The primary purpose of the package is to provide high resolution map/satellite imagery for use in your R plots. The package supports base graphics and ggplot2, as well as transformations between spatial coordinate
R: Streets of France
I was Inspired from Ben Frys all Streets project. There he plotted all streets of the United States of America (about 240 million segments). I tried this first for the countries in Europe, France has about 22 million segments, with the goal to get an all street map of Europe. My data source originate from
Using R — Working with Geospatial Data
This entry is part 12 of 12 in the series Using RGIS, an acronym that brings joy to some and strikes fear in the heart of those not interested in buying expensive software. Luckily fight or flight can be saved for another day because you … read more ...
Starting Analysis and Visualisation of Spatial Data with R
Last week I ran an introductory workshop on the analysis and visualisation of spatial data with R. The software has become established as one of the best around for statistics and it is becoming increasingly recognised as a tool for data visualisation (I wrote about this last year, also see here) and spatial analysis. Interest in R ...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
