This book is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization and geospatial capabilities.

Doing ‘spatial’ in R has always been about being broad, seeking to provide and integrate tools from geography, geoinformatics, geocomputation and spatial statistics for anyone interested in joining in: joining in asking interesting questions, contributing fruitful research questions, and writing and improving code. That is, doing ‘spatial’ in R has always included open source code, open data and reproducibility.

By Robin Lovelace, Jakub Nowosad, and Jannes MuenchowRead more.

Career Relevance by Data Role

The techniques and tools covered in Geocomputation with R are most similar to the requirements found in Data Scientist job advertisements.

Similarity Scores (Out of 100)