Documentation resources

Here's a collection of online resources. Check also this github repo for an extensive collection.

FOSS4GAcademy

The FOSS4G Academy is dedicated to supporting the latest in FOSS4G training and education.

Gdal

• Gdal [cheat sheet] (https://github.com/dwtkns/gdal-cheat-sheet)

Git

• Git [tutorial] (https://github.com/seanmcnamara/git-tutorial/blob/master/git-how-to.txt)

• Git for Scientits

• GitHub Cheat Sheet

GRASS GIS

• Install GRASS70 in Ubuntu

• Python scripts for GRASS GIS

• Short introductory course to GRASS GIS 6.4 in Spanish

• Introductory course to GRASS GIS in Italian [lesson 1] (http://www.slideshare.net/madi468/corso-di-modelli-e-gis-per-lambiente-1) [lesson 2] (http://www.slideshare.net/madi468/corso-di-modelli-e-gis-per-lambiente-2) [lesson 3] (http://www.slideshare.net/madi468/lez-3-corso-di-modelli-e-gis-per-lambiente) [lesson 4] (http://www.slideshare.net/madi468/lez-4-corso-di-modelli-e-gis-per-lambiente) [lesson 5] (http://www.slideshare.net/madi468/lez5)

• First day GRASS [documentation] (http://grasswiki.osgeo.org/wiki/GRASS_Help#First_Day_Documentation)

• How to write a Python GRASS GIS 7 addon

• GRASS GIS [Tutorials] (http://grass.osgeo.org/documentation/tutorials/)

• GRASS user [Mailing List] (http://lists.osgeo.org/listinfo/grass-user)

Orfeo ToolBox (OTB)

• Documentation page

• FAQ

• The Orfeo ToolBox Cookbook, a guide for non-developers

• The new tutorial

OSGeo

• The [Open Source Geospatial Foundation] (http://www.osgeo.org/)

• The [OSGeo-Live] (http://live.osgeo.org/en/index.html) project

• OSGeo [Mailing Lists] (http://lists.osgeo.org/mailman/listinfo)

Python

• Python scripts for GRASS GIS

• [50] (http://www.efytimes.com/e1/fullnews.asp?edid=117094#!) Free eBooks on Python

• Python courses on Coursera: [Interactive Python] (https://www.coursera.org/course/interactivepython) and [Learn to Program: The Fundamentals] (https://www.coursera.org/course/programming1)

• A [tutorial] (http://www.carsonfarmer.com/2013/11/statistical-modeling-python-introduction/) on using Python for introductory statistical analysis

• [PySAL] (https://geodacenter.asu.edu/projects/pysal#!): Open Source Python Library for Spatial Analytical Functions. And [here] (http://bit.ly/168a9h7) some workshop material.

• [Python lectures] (https://github.com/rajathkumarmp/Python-Lectures) in iPython notebook

• [sentinelsat] (http://fernerkundung.github.io/download-sentinel-images-with-python/) : Download Sentinel images with Python

• [Immersione in Python 3] (http://gpiancastelli.altervista.org/dip3-it/) : The translation in Italian of the famous Dive into Python 3

• [Pandas Cookbook] (http://pandas-docs.github.io/pandas-docs-travis/cookbook.html) : A repository for short and sweet examples and links for useful pandas recipes.

R

• Stacked area plots in R

• Introduction to Spatial Data and ggplot2

• Official R-project web site

• R introductory course presentation in Spanish and source code

• 1000 R [tutorials/Links] (https://stat.ethz.ch/pipermail/bioconductor/2010-June/033791.html)

• ggplot2: Cheatsheet for Scatterplots

• Video: Plotting with ggplot2: Part 1

• Course on Coursera: Computing for Data Analysis

• Swirl - R package for interactive learning

• Data Science Specialization on Coursera

• Rseek

• R for spatial analysis and mapping - educational material for self learning or courses

Redmine

• Redmine