MARC Record from marc_columbia

LEADER: 04801cam a2200613 i 4500
001 15142671
005 20220703234520.0
006 m o d
007 cr cnu---unuuu
008 200912r20212015enk ob 000 0 eng d
035 $a(OCoLC)on1195825512
035 $a(NNC)15142671
040 $aEBLCP$beng$erda$epn$cEBLCP$dYDXIT$dTYFRS$dYDX$dTYFRS$dOCLCF$dOCLCQ$dOCLCO$dSFB$dOCLCO
020 $a9781003021643$q(electronic book)
020 $a1003021646$q(electronic book)
020 $a9781000173451$q(electronic book)
020 $a1000173453$q(electronic book)
020 $a9781000173475$q(electronic bk. ;$qEPUB)
020 $a100017347X$q(electronic bk. ;$qEPUB)
020 $a9781000173468$q(electronic bk. ;$qMobipocket)
020 $a1000173461$q(electronic bk. ;$qMobipocket)
035 $a(OCoLC)1195825512
037 $a9781003021643$bTaylor & Francis
050 4 $aQA278.2$b.O93 2021eb
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082 04 $a910.285$223
049 $aZCUA
100 1 $aOyana, Tonny J.
245 10 $aSpatial analysis with R :$bstatistics, visualization, and computational methods /$cTonny J. Oyana.
250 $aSecond edition.
264 1 $aAbingdon, Oxon :$bCRC Press,$c[2021]
300 $a1 online resource
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
500 $a"First edition published 2015."
520 $aIn the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R. The use and growth of artificial intelligence, machine learning and deep learning algorithms with a spatial perspective, and the interdisciplinary use of spatial analysis are all covered in this second edition along with traditional statistical methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis. Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second Edition provides a balance between concepts and practicums of spatial statistics with a comprehensive coverage of the most important approaches to understand spatial data, analyze spatial relationships and patterns, and predict spatial processes. New in the Second Edition: Includes new practical exercises and worked-out examples using R Presents a wide range of hands-on spatial analysis worktables and lab exercises All chapters are revised and include new illustrations of different concepts using data from environmental and social sciences Expanded material on spatiotemporal methods, visual analytics methods, data science, and computational methods Explains big data, data management, and data mining This second edition of an established textbook, with new datasets, insights, excellent illustrations, and numerous examples with R, is perfect for senior undergraduate and first-year graduate students in geography and the geosciences.
504 $aIncludes bibliographical references.
545 0 $aProfessor Tonny J. Oyana received his Ph. D. and his postdoctoral training from the University of Buffalo, New York, USA. He currently serves as the College Principal at the Makerere University College of Computing and Information Science, Kampala, Uganda. He has served for over 20 years in several academic positions at the Southern Illinois University Carbondale and University of Tennessee Health Science Center, Memphis, USA. His research focuses on establishing whether there is a link between environmental health and exposure; advancing GIS methods, algorithm design, and spatial analytical methods; and understanding the factors that contribute toward land systems change. He has authored or co-authored more than 100 scientific works.
650 0 $aSpatial analysis (Statistics)
650 6 $aAnalyse spatiale (Statistique)
650 7 $aspatial analysis.$2aat
650 7 $aMATHEMATICS$xProbability & Statistics$xGeneral.$2bisacsh
650 7 $aSCIENCE$xEarth Sciences$xGeneral.$2bisacsh
650 7 $aTECHNOLOGY$xEnvironmental Engineering & Technology.$2bisacsh
650 7 $aSpatial analysis (Statistics)$2fast$0(OCoLC)fst01128784
655 0 $aElectronic books.
655 4 $aElectronic books.
776 08 $iPrint version:$aOyana, Tonny J.$tSpatial Analysis with R : Statistics, Visualization, and Computational Methods.$dMilton : Taylor & Francis Group, ©2020$z9780367860851
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15142671$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS