Geographical data science and spatial data análisis an introduction in R
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.
| Main Authors: | , |
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| Format: | Texto biblioteca |
| Language: | eng |
| Published: |
London, England, United Kingdom SAGE Publications Ltd Lex Comber and Chris Brunsdon
c202
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| Subjects: | Análisis espacial (Estadística), R (Lenguaje de programación para computadora), Métodos estadísticos, Procesamiento de datos, |
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