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.
the location attached.