Modelling of the distribution of Sycamore maple in France. Top-left map shows occurrence records of Sycamore maple (@IGN). Top-right map shows minimum temperature of the coldest month at 1-km resolution (@WorldClim). Bottom map shows probability of occurrence of Sycamore maple predicted by a model based on a set of 4 climatic predictors.
Hands-on training course in “Managing, Visualizing and Analyzing Climatic and Ecological Data in R: The Statistical Programming Environment”
Keywords:
Biostatistics, Climatic Data, Data Mining, Data Handling, Ecological Data, Ecological Niche Modelling, Spatial Data, Species Distribution Modelling
Tuesday 5th August 2014
9H00-10H00 – General lecture on observed changes in the geographical distribution of living organisms during contemporary climate change (from 2Oth century onwards) based on a recently published article available @Ecography
10H00-12H00 – Introductory lecture on data management and visualization in R: the spatial case of climatic and ecological data. The following R-packages will be used: “fBasics”, “maptools”, “rgdal”, “raster”, “rgbif”. Here you can download the R-script used for this course.
Wednesday 6th August 2014
10H00-12H00 – Introductory lecture on data analysis in R: linking species distribution data to climatic data. The following R-packages will be used in addition to the formerly listed ones: “AICcmodavg”, “dismo”, “spdep”, “splines”. Here you can download the R-script used for this course.
Jonathan Lenoir 