000 02292cam a22002535i 4500
003 GSU
005 20260721090144.0
008 200504s2020 cau 000 0 eng
020 _a9781526449351 (hardback)
040 _aDLC
_beng
_erda
_cGSU
_dGSU
050 _aQA276.45
_bCOM
100 1 _aComber, Lex,
_eauthor.
245 1 0 _aGeographical data science and spatial data analytics in R :
_ban introduction /
_cLex Comber, Chris Brunsdon.
264 1 _aThousand Oaks :
_bSAGE Publications,
_c©2020.
300 _axv, 339 pages :
_billustrations ;
_c25 cm
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
490 0 _aSpatial analytics and gis;
_vbook 6
504 _aIncludes index.
520 _a"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. These include the questioning of classical statistical hypothesis testing (with Big Data almost everything is significant), the importance of data visualizations to support robust hypothesis development and the role of spatial data analytics to link different big spatial datasets and to support trend identification. This book builds on the tools and techniques described in An Introduction to R for Spatial Analysis and Mapping by Brunsdon and Comber, extending these into Big Spatial Data and Data Analytics. It reflects a number of recent developments in both thinking about Big Spatial Data and in handling such data in R, the open source statistical software, which have significantly increased R's ability to handle, process and visualize big data. As yet there are no text books which reflect these recent developments in data handling in R, that develop robust inferential methods for Big Data analysis, that include spatial operations in data analytics or that describe advanced spatial manipulations and visualizations of highly dimensional, spatially referenced data. This book addresses these gaps"--
_cProvided by publisher.
700 1 _aBrunsdon, Chris,
_eauthor.
942 _2lcc
_cRB
_hQA276.45
_kQA
_mCOM
_n0
999 _c2856
_d2856