Geographic Data Science with R

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The purpose of this book is to provide a series of tutorials aimed at teaching good practices for using geospatial data to address problems in environmental geography. Fundamental techniques for processing and visualizing tabular, vector, and raster data are introduced through a series of practical examples followed by case studies that combine multiple types of data to address more complex problems. The book will have a broad audience. Students and professionals can use it as a workbook to learn high-level techniques for geospatial data processing and analysis with R. It is designed to be accessible to readers who have at least some knowledge of coding.

• Focus on developing practical workflows for processing and integrating multiple sources of geospatial data in R
• Example-based approach that teaches R programming and data science concepts through real-world applications related to climate, land cover and land use, and natural hazards.
• Consistent use of tidyverse packages for tabular data manipulation and visualization.
• Strong focus on analysing continuous and categorical raster datasets using the new terra package
• Organized so that each chapter builds on the topics and techniques covered in the preceding chapters
• Can be used for self-study or as the textbook for a geospatial science course.