December 2014
Beginner to intermediate
364 pages
8h 27m
English
Overview
Learn how to leverage the power of R for geospatial analysis in this comprehensive guide. Whether you're processing spatial datasets, creating publication-quality maps, or performing GIS operations, this book covers the necessary tools and techniques for effective analysis, without requiring prior programming knowledge.
What this Book will help me do
- Discover how to manipulate and analyze geospatial data effectively using R.
- Gain proficiency in loading, reshaping, and visualizing spatial data.
- Master key concepts like spatial queries and overlays for GIS tasks.
- Learn to automate spatial data workflows using reproducible R scripts.
- Create high-quality visualizations and maps tailored to your datasets.
Author(s)
None Dorman, the author of this book, is an experienced data science educator and practitioner with a particular focus on geospatial data analysis in R. With years of teaching and applied geospatial research, Dorman brings expertise in making advanced topics approachable. Their practical approach ensures readers can immediately put concepts into practice.
Who is it for?
This book is ideal for GIS analysts, geospatial researchers, educators, and students looking to enhance their skillset with R programming. It's particularly suited for those familiar with geographic concepts like coordinates but new to programming or R. If you aim to efficiently analyze spatial data and produce professional-grade visualizations and GIS analyses, this book is for you.
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