Geographical Data Science and Spatial Data Analysi av Lex Comber, Chris Brunsdon

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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-<em>where</em> ¿ and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges.<br/><br/>Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider <em>Spatial Data</em> (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics. <br/><br/>This is a ¿learning by doing¿ textbook, building on the previous book by the same authors, <em>An Introduction to R for Spatial Analysis and Mapping</em>. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.