LEADER 00901nam2-2200325---450 001 990005571980203316 005 20200525203018.0 035 $a000557198 035 $aUSA01000557198 035 $a(ALEPH)000557198USA01 035 $a000557198 100 $a19981214g19701976|||y0itaa50------ba 101 $aita 102 $ait 105 $a0 00||| 200 1 $a<> Dialoghi$fSant'Agostino 210 $aTorino$cTipografi Cassone ; Marzorati ; Vercellotti$d1970-1976 215 $av.$d18 cm 462 $1001000557197$12001$aOpere filosofico-dommatiche$v1 620 $dROMA 676 $a230 700 0$aAUGUSTINUS,$bAurelius$c$0152280 801 0$aIT$bSA$c20111219 912 $a990005571980203316 959 $aBK 969 $aFIL 979 $c20121027$lUSA01$h1525 979 $aPATRY$b90$c20160519$lUSA01$h1517 996 $aContra Academicos$922448 997 $aUNISA LEADER 02722nam 2200649 a 450 001 9910782411103321 005 20230213211743.0 010 $a0-8166-6865-5 010 $a0-8166-6263-0 035 $a(CKB)1000000000689962 035 $a(EBL)345500 035 $a(OCoLC)476162188 035 $a(SSID)ssj0000283232 035 $a(PQKBManifestationID)11194950 035 $a(PQKBTitleCode)TC0000283232 035 $a(PQKBWorkID)10337523 035 $a(PQKB)10378701 035 $a(SSID)ssj0000229800 035 $a(PQKBManifestationID)11203816 035 $a(PQKBTitleCode)TC0000229800 035 $a(PQKBWorkID)10172614 035 $a(PQKB)10564806 035 $a(MiAaPQ)EBC345500 035 $a(Au-PeEL)EBL345500 035 $a(CaPaEBR)ebr10231288 035 $a(CaONFJC)MIL526415 035 $a(EXLCZ)991000000000689962 100 $a19810826d1982 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aProximity and preference$b[electronic resource] $eproblems in the multidimensional analysis of large data sets /$fReginald G. Golledge, John N. Rayner, editors 210 $aMinneapolis $cUniversity of Minnesota Press$dc1982 215 $a1 online resource (356 p.) 300 $aDescription based upon print version of record. 311 $a0-8166-1042-8 320 $aIncludes bibliographical references and index. 327 $apt. 1. Experimental design and measurement problems -- pt. 2. Preference functions and choice behavior -- pt. 3. Special problems. 330 $aHow does one design experiments for collecting large volumes of data such as those needed for marketing surveys, studies of travel patterns, and public opinion polls? This is a common problem for social and behavioral scientists. The papers in this collection address the problems of working with large data sets primarily from the perspectives of geography and psychology, two fields that share a common quantitative research methodology. After an introductory paper on substantive and methodological aspects of the interface between geography and psychology, the book is divided into three sections 606 $aGeographical perception 606 $aSpace perception 606 $aMultidimensional scaling 615 0$aGeographical perception. 615 0$aSpace perception. 615 0$aMultidimensional scaling. 676 $a910 701 $aGolledge$b Reginald G.$f1937-$0273965 701 $aRayner$b John N$01542915 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910782411103321 996 $aProximity and preference$93796074 997 $aUNINA