LEADER 02352nam0 2200553 i 450 001 VAN0124906 005 20230630100016.805 017 70$2N$a9783319714042 100 $a20191028d2018 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aNumerical Ecology with R$fDaniel Borcard, François Gillet, Pierre Legendre 205 $a2. ed 210 $aCham$cSpringer$d2018 215 $axv, 435 p.$cill.$d24 cm 410 1$1001VAN0102661$12001 $aUse R!$1210 $aBerlin [etc.]$cSpringer 500 1$3VAN0236405$aNumerical Ecology with R$91563690 606 $a92-XX$xBiology and other natural sciences [MSC 2020]$3VANC020839$2MF 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a92D40$xEcology [MSC 2020]$3VANC023326$2MF 606 $a68N15$xTheory of programming languages [MSC 2020]$3VANC025161$2MF 606 $a62P25$xApplications of statistics to social sciences [MSC 2020]$3VANC031206$2MF 606 $a62P12$xApplications of statistics to environmental and related topics [MSC 2020]$3VANC033424$2MF 610 $aCanonical Ordination$9KW:K 610 $aCluster analysis$9KW:K 610 $aData analysis$9KW:K 610 $aEcology$9KW:K 610 $aEnvironmental Science$9KW:K 610 $aMultiple Correspondence Analysis$9KW:K 610 $aNumerical Ecology$9KW:K 610 $aPrinciple Response Curves$9KW:K 610 $aR code$9KW:K 610 $aR language$9KW:K 610 $aSpatial Analysis$9KW:K 610 $aUnconstrained Ordination$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aBorcard$bDaniel$3VANV096332$0767866 701 1$aGillet$bFrançois$3VANV096334$0767867 701 1$aLegendre$bPierre$3VANV005451$0102782 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-319-71404-2$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN0124906 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 1283 $e08eMF1283 20191028 996 $aNumerical Ecology with R$91563690 997 $aUNICAMPANIA