Record ID | marc_columbia/Columbia-extract-20221130-031.mrc:175863243:3613 |
Source | marc_columbia |
Download Link | /show-records/marc_columbia/Columbia-extract-20221130-031.mrc:175863243:3613?format=raw |
LEADER: 03613cam a2200589 i 4500
001 15107000
005 20220627130931.0
006 m o d
007 cr mn|||||||||
008 150730t20152016flua ob 000 0 eng d
035 $a(OCoLC)ocn915134671
035 $a(NNC)15107000
040 $aN$T$beng$erda$epn$cN$T$dN$T$dIDEBK$dCUS$dOCLCF$dEBLCP$dYDXCP$dDEBSZ$dCRCPR$dOSU$dCDX$dS4S$dCNCGM$dZ5A$dNRC$dOCLCQ$dMERUC$dOCLCQ$dUUM$dOCLCQ$dWYU$dYDX$dUKAHL$dOCLCQ$dUKMGB$dOCLCQ$dK6U$dOCLCO$dOCLCQ$dOCLCO
015 $aGBB599827$2bnb
016 7 $a017455348$2Uk
019 $a915154077$a916716890$a918622301
020 $a9781498707640$q(electronic bk.)
020 $a1498707645$q(electronic bk.)
020 $z9781498707633$q(hardcover)
020 $z1498707637$q(hardcover)
035 $a(OCoLC)915134671$z(OCoLC)915154077$z(OCoLC)916716890$z(OCoLC)918622301
037 $a817882$bMIL
050 4 $aG70.212$b.O98 2016
072 7 $aTEC$x036000$2bisacsh
082 04 $a910.285$223
049 $aZCUA
100 1 $aOyana, Tonny J.,$eauthor.
245 10 $aSpatial analysis :$bstatistics, visualization, and computational methods /$cTonny J. Oyana and Florence M. Margai.
264 1 $aBoca Raton :$bCRC Press, Taylor & Francis Group,$c[2016]
264 4 $c©2016
300 $a1 online resource (xviii, 305 pages) :$billustrations (some color)
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
520 $aAn introductory text for the next generation of geospatial analysts and data scientists, Spatial Analysis: Statistics, Visualization, and Computational Methods focuses on the fundamentals of spatial analysis using traditional, contemporary, and computational methods. Outlining both non-spatial and spatial statistical concepts, the authors present practical applications of geospatial data tools, techniques, and strategies in geographic studies. They offer a problem-based learning (PBL) approach to spatial analysis-containing hands-on problem-sets that can be worked out in MS Excel or ArcGIS-as.
504 $aIncludes bibliographical references.
505 0 $aThe context and relevance of spatial analysis -- Scientific observations and measurements in spatial analysis -- Using statistical measures to analyze data distributions -- Exploratory data analysis, visualization, and hypothesis testing -- Analyzing spatial statistical relationships -- Engaging in point pattern analysis -- Engaging in areal pattern analysis using global and local statistics -- Engaging in geostatistical analysis -- Data science : understanding computing systems and analytics for big data.
588 0 $aPrint version record.
650 0 $aGeographic information systems.
650 0 $aSpatial analysis (Statistics)
650 6 $aSystèmes d'information géographique.
650 6 $aAnalyse spatiale (Statistique)
650 7 $ageographic information systems.$2aat
650 7 $aspatial analysis.$2aat
650 7 $aTECHNOLOGY & ENGINEERING$xRemote Sensing & Geographic Information Systems.$2bisacsh
650 7 $aGeographic information systems.$2fast$0(OCoLC)fst00940423
650 7 $aSpatial analysis (Statistics)$2fast$0(OCoLC)fst01128784
655 4 $aElectronic books.
700 1 $aMargai, Florence M.,$eauthor.
776 08 $iPrint version:$aOyana, Tonny J.$tSpatial analysis.$dBoca Raton, Fla. : Taylor & Francis, [2016]$z9781498707633$w(DLC) 2015017750$w(OCoLC)907196150
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15107000$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS