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 Muenchow阅读更多.
Geocomputation with R 中涵盖的技术和工具与 数据科学家 招聘广告中的要求最为相似。
