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 a...
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Chapter 1: Introduction to Geographical Data Science and Spatial Data Analytics
Chapter 2: Data and Spatial Data in R
Chapter 3: A Framework for Processing Data: The Piping S...
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Chris Brunsdon is Professor of Geocomputation and Director of the National Centre for Geocomputation at the National University of Ireland, Maynooth, having worked ...