000			02331 a2200205 4500
999			_c1825 _d1825
003			OSt
005			20191203152342.0
008			191203b ||||| |||| 00| 0 eng d
020	0		_a 9781446272947
040			_cIIMV
082	0		_a300.15195 BRU
100	1		_aChris Brunsdon _eAuthor _91342
245	0		_aAn introduction to r for spatial analysis and mapping _cby Chris Brunsdon
260			_bSage _aNew Delhi _c2015
300			_axii, 343 pages; _bIllustrations; _c23 cm.
505	0		_aObjectives of this book Spatial Data Analysis in R Chapters and Learning Arcs The R Project for Statistical Computing Obtaining and Running the R software The R interface Other resources and accompanying website Part 2: Data and Plots The basic ingredients of R: variables and assignment Data types and Data classes Plots Reading, writing, loading and saving data Part 3: Handling Spatial Data in R Introduction: GISTools Mapping spatial objects Mapping spatial data attributes Simple descriptive statistical analyses Part 4: Programming in R Building blocks for Programs Writing Functions Writing Functions for Spatial Data Part 5: Using R as a GIS Spatial Intersection or Clip Operations Buffers Merging spatial features Point-in-polygon and Area calculations Creating distance attributes Combining spatial datasets and their attributes Converting between Raster and Vector Introduction to Raster Analysis
520	3		_a"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."
700			_aLex Comber _91343
942			_2ddc _cBK