Comprehensive coverage of spatial data analysis and big data geography for data scientists
Hands-on R code examples to build practical skills and confidence
Addresses challenges in analyzing and interpreting spatial data trends and patterns
Built on the previous successful introduction to R for spatial analysis and mapping
Covers both theoretical issues and real-world applications in spatial analytics
Summarized by Shop
Report copyright infringement by Lex Comber (Author), Chris Brunsdon (Author) 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