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...
Tabella dei contenuti
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 Dat...
Circa l’autore
Chris Brunsdon is Professor of Geocomputation and Director of the National Centre for Geocomputation at the National University of Ireland, Maynooth, having worked pr...