
eBook - ePub
Geographical Data Science and Spatial Data Analysis
An Introduction in R
- 360 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Geographical Data Science and Spatial Data Analysis
An Introduction in R
About this book
We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial – it is collected some-where – and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges.
Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics.Â
This is a 'learning by doing' textbook, building on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.
Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics.Â
This is a 'learning by doing' textbook, building on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Geographical Data Science and Spatial Data Analysis by Lex Comber,Chris Brunsdon,Author in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Environmental Science. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Acknowledgements
- Title Page
- Copyright Page
- Acknowledgements
- Contents
- About the Authors
- Preface
- Online Resources
- 1 Introduction to Geographical Data Science and Spatial Data Analytics
- 2 Data and Spatial Data in R
- 3 A framework for processing data: the piping syntax and dplyr
- 4 Creating databases and queries in R
- 5 EDA and finding structure in data
- 6 Modelling and Exploration of Data
- 7 Applications of Machine Learning to Spatial Data
- 8 Alternative spatial summaries and visualisations
- 9 Epilogue on the Principles of Spatial Data Analytics
- Index