Jan Verbesselt, Dainius Masiliūnas, Arno Timmer

2026-07-16

WUR Geoscripting

We recommend refreshing your R and Python knowledge before the course with

DataCamp: Interactive learning

Week 1

Tutorial 1: Linux & version control

Tutorial 2: Linux terminal & Bash

Tutorial 3: R & Python basics

Week 2

Tutorial 4: Finding help and best coding practices

Tutorial 5: Intro to functions and refresher on R

Project week introduction

Week 3

Tutorial 6: Intro to raster

Tutorial 7: Vector - Raster

Assignment 1

Week 4

Tutorial 8: Python Environments

Tutorial 9: Python Programming

Project proposal hand-in

Week 5

Tutorial 10: Vector data handling with Python

Tutorial 11: Raster data handling with Python

Assignment 2

Week 6 & 7

Project weeks

Week 8

Self-study for exam

Exam

Extra and optional

Package and project management (R & Python)

Intro to vector (R)

Advanced Raster Analysis (R)

Geoscripting in R: demos

Google Earth Engine

Geoscripting course material is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

WUR Geoscripting
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6 & 7
Week 8
Extra and optional