Data Science Career Tracks: What's the Right Path for You?

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Description

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.

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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.

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