An Introduction to R for Spatial Analysis and Mapping"In an age of big data, data journalism and with a wealth of quantitative information around us, it is not enough for students to be taught only 100 year old statistical methods using ′out of the box′ software. They need to have 21st-century analytical skills too. This is an excellent and student-friendly text from two of the world leaders in the teaching and development of spatial analysis. It shows clearly why the open source software R is not just an alternative to commercial GIS, it may actually be the better choice for mapping, analysis and for replicable research. Providing practical tips as well as fully working code, this is a practical ′how to′ guide ideal for undergraduates as well as those using R for the first time. It will be required reading on my own courses."
This is a definitive ′how to′ that takes students - of any discipline - from coding to actual applications and uses of R. |
Contents
About the Authors | |
2 | |
HANDLING SPATIAL DATA IN | |
PROGRAMMING IN | |
USING R AS A | |
POINT PATTERN ANALYSIS USING | |
Attributes | |
References | |
LOCALISED SPATIAL ANALYSIS | |
R AND INTERNET DATA | |
EPILOGUE | |
Other editions - View all
An Introduction to R for Spatial Analysis and Mapping Chris Brunsdon,Lex Comber Limited preview - 2014 |
An Introduction to R for Spatial Analysis and Mapping Chris Brunsdon,Lex Comber No preview available - 2015 |
An Introduction to R for Spatial Analysis and Mapping Chris Brunsdon,Lex Comber No preview available - 2015 |