Geographical Data Science and Spatial Data Analysis : An Introduction in R Paperback / softback
by Lex Comber, Chris Brunsdon
Part of the Spatial Analytics and GIS series
Paperback / softback
Description
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.
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.
Information
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Less than 10 available - usually despatched within 24 hours
- Format:Paperback / softback
- Pages:360 pages
- Publisher:Sage Publications Ltd
- Publication Date:25/12/2020
- Category:
- ISBN:9781526449368
Other Formats
- Hardback from £131.00
- EPUB from £32.29
- PDF from £32.29
Information
-
Less than 10 available - usually despatched within 24 hours
- Format:Paperback / softback
- Pages:360 pages
- Publisher:Sage Publications Ltd
- Publication Date:25/12/2020
- Category:
- ISBN:9781526449368
