Using R as a GIS : A Beginner's Guide to Mapping and Spatial Analysis

Nick Bearman

ISBN 10: 1998414035 / ISBN 13: 9781998414031

Published by Locate Press Sep 2024, 2024

About this Item

Neuware - Discover how the R programming language can transform your GIS journey, enabling you to create maps, analyze spatial data, and unlock advanced geospatial insights-no prior experience needed!

Seller Inventory # 9781998414031

Bibliographic Details

• Title: Using R as a GIS : A Beginner's Guide to Mapping and Spatial Analysis
• Publisher: Locate Press Sep 2024
• Publication Date: 2024
• Language: English
• ISBN 10: 1998414035
• ISBN 13: 9781998414031
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 210W x 148H x 16D millimeters 210 millimeters width by 148 millimeters height by 16 millimeters depth
• Weight: 372 grams

About this title

Synopsis

Discover how the R programming language can transform your GIS journey, enabling you to create maps, analyze spatial data, and unlock advanced geospatial insights-no prior experience needed!

This book introduces the scripting language R and how to use it as a GIS for managing, displaying, symbolizing, and analyzing spatial data. While R started as a statistics tool, it now rivals software like QGIS or ArcGIS Pro, offering spatial analysis and map creation.

We'll cover the basics of GIS and R, as well as advanced visualization and analysis techniques. No prior GIS or scripting experience is required, making this book ideal for beginners or those transitioning from desktop GIS to a script-based approach. Benefits of scripting include reusable code and easier knowledge sharing, such as sharing research project workflows.

• Part 1: What is GIS & Spatial Data? - Essential GIS theory for success.
• Part 2: Spatial Data - Advanced maps using raster and vector data.
• Part 3: Advanced Concepts - Loops for repetitive tasks and data wrangling in R.
• Part 4: Project Management - File management, version control, R projects, and markdown workflows.
• Part 5: Next Steps - Tips for finding spatial data, progressing with R, and accessing help online.

Designed for those new to R or scripting, this book assumes no prior knowledge. Familiarity with GIS (e.g., QGIS or ArcGIS) helps but isn't required-we'll explain the key terms and concepts you need.

About the Author

Nick is passionate about GIS and spatial skills both as a tool to solve problems and as a vital skill to be taught to anyone who uses spatial data to make decisions. He wants as many people as possible to be able to use GIS, and runs regular introductory and advanced training courses in QGIS and R/RStudio, to attendees from universities, government organisations, commercial companies and non profit organisations across the globe. Nick also offers consultancy services, using technical skills with GIS to explore and analyse spatial data using different methods applied to a variety of different applications including in multidisciplinary projects. Nick is a Chartered Geographer (GIS) and Fellow of the Royal Geographical Society, a Fellow of the Higher Education Authority and OSGeo: UK Chair.