Geographical Data Science and Spatial Data Analysis : An Introduction in R
Book Details
Format
Hardback or Cased Book
Book Series
Spatial Analytics and GIS
ISBN-10
1526449358
ISBN-13
9781526449351
Publisher
SAGE Publications Ltd
Imprint
Sage Publications Ltd
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Dec 29th, 2020
Print length
360 Pages
Weight
840 grams
Dimensions
17.60 x 24.80 x 2.20 cms
Ksh 27,700.00
Manufactured on Demand
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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.
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.
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