Geographical Data Science and Spatial Data Analysis : An Introduction in R
Book Details
Format
Paperback / Softback
Book Series
Spatial Analytics and GIS
ISBN-10
1526449366
ISBN-13
9781526449368
Publisher
Sage Publications Ltd
Imprint
Sage Publications Ltd
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Dec 25th, 2020
Print length
360 Pages
Weight
612 grams
Dimensions
16.90 x 24.10 x 2.00 cms
Product Classification:
Research methods: generalGeography
Ksh 8,650.00
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This book builds on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping, to consider Spatial Data (ie the location attached to data), issues of inference, linking Big Data, Geography / GIS / Mapping and Spatial Analytics. A ‘learning by doing’ text book, it covers important theoretical issues and helps to develop practical skills in the reader for addressing these.
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.
Get Geographical Data Science and Spatial Data Analysis by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Sage Publications Ltd and it has pages.
