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Geographical Data Science and Spatial Data Analytics in R
Lex Comber, Chris Brunsdon你有多喜欢这本书?
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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 (ie 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' text book, 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.
年:
2021
出版社:
Spatial Analytics and GIS
语言:
english
页:
336
ISBN 10:
1526449366
ISBN 13:
9781526449368
文件:
EPUB, 6.12 MB
您的标签:
IPFS:
CID , CID Blake2b
english, 2021
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