LEADER 02497nam 22006494a 450 001 9910782236403321 005 20230617002829.0 010 $a0-19-756551-4 010 $a1-280-84376-4 010 $a0-19-803831-3 035 $a(CKB)1000000000551062 035 $a(EBL)422463 035 $a(OCoLC)476257317 035 $a(SSID)ssj0000297455 035 $a(PQKBManifestationID)11947368 035 $a(PQKBTitleCode)TC0000297455 035 $a(PQKBWorkID)10333769 035 $a(PQKB)10445573 035 $a(MiAaPQ)EBC422463 035 $a(StDuBDS)EDZ0002341502 035 $a(Au-PeEL)EBL422463 035 $a(CaPaEBR)ebr10266485 035 $a(CaONFJC)MIL84376 035 $a(EXLCZ)991000000000551062 100 $a20030703d2004 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aGeostatistical analysis of compositional data$b[electronic resource] /$fVera Pawlowsky-Glahn, Ricardo A. Olea 210 $aNew York $cOxford University Press$d2004 215 $a1 online resource (204 p.) 225 1 $aStudies in mathematical geology ;$v6 300 $aPreviously issued in print: 2004. 311 $a0-19-517166-7 320 $aIncludes bibliographical references (p. [167]-175) and index. 327 $aContents; 1 Introduction; 2 Regionalized compositions; 3 Spatial covariance structure; 4 Concepts of null correlation; 5 Cokriging; 6 Practical aspects of compositional data analysis; 7 Application to real data; Summary and prospects; References; Index 330 8 $aGeostatistical Analysis of Compositional Data provides a comprehensive coverage of the theory and practice of analysis of data that have both spatial and compositional dependence, characteristics of most earth science and environmental measurements. 410 0$aStudies in mathematical geology ;$v6. 606 $aGeology$xStatistical methods 606 $aMultivariate analysis 606 $aKriging 615 0$aGeology$xStatistical methods. 615 0$aMultivariate analysis. 615 0$aKriging. 676 $a551/.072 700 $aPawlowsky-Glahn$b Vera$0741206 701 $aOlea$b R. A$g(Ricardo A.)$0771446 712 02$aInternational Association for Mathematical Geology, 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910782236403321 996 $aGeostatistical analysis of compositional data$93678117 997 $aUNINA