APES
  • Statistics
    • Descriptive statistics
      • Explorative data analysis
      • Summary statistics and correlations
    • Inferential statistics
      • Hypothesis testing
      • Analysis of variance (ANOVA)
      • Linear regression
      • Generalized linear models (GLM)
    • Advanced topics
      • Mixed models
      • Advanced regression models
      • Model selection
      • Hierarchical statistical models
      • Multivariate statistics
      • Nonparametric methods
    • Machine Learning
    • References
  • R
    • Getting started with R
    • Data in R
    • Functions and packages
    • Programming with R
    • Creating Reports and Presentations with R
    • Package development
    • Solving problems and getting help
  • Hubs
    • Bayesian statistics
    • GIS
    • Programming
    • statistical analysis plan
    • Circular Statistics
    • Experimental design
    • Reproducibility
    • Spatial analysis
    • A curriculum for statistics
    • Time series methods
  • Checklists
    • Analysing data - a checklist
    • Common statistical mistakes
    • Planning an experiment or field study
    • Choose an analysis
  • Glossary

Hubs Gis

GIS

  • ArcGIS help of the department here

  • GIS in R: Some useful links:
  • Spatial data in R: Using R as a GIS
  • Spatial Cheatsheet
  • mapview - basic interactive viewing of spatial data in R
  • Intro to GIS mapping in R
  • Making Maps in R: here and here
  • Raster plotting using rasterVis: Click here
  • Talk mapping in R

Maps in R

  • Intro - MAPS WITH R

APES - GIS

  • Author: Florian Hartig & Carsten Dormann
  • Maintainer:
  • Contributors: see file history on gh
  • View source
  • License: CC BY-ND 4.0
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