LEADER 00972nam--2200349---450 001 990000632510203316 005 20210317113159.0 035 $a000063251 035 $aUSA01000063251 035 $a(ALEPH)000063251USA01 035 $a000063251 100 $a20010914d1985----km-y0itay0103----ba 101 $aita 102 $aIT 105 $a||||||||001yy 200 1 $aPasseggiate sentimentali$e(Catania di ieri e di oggi)$fSaverio Fiducia$ga cura di Gabriella Congiu 210 $aCatania$cTringale$d1985 215 $a296 p.$d24 cm 410 $12001 461 1$1001-------$12001 606 0 $aCatania$xDescrizioni 606 0 $aCatania$xPeriferie 676 $a914.5813 700 1$aFIDUCIA,$bSaverio$0547754 702 1$aCONGIU,$bGabriella 801 0$aIT$bsalbc$gISBD 912 $a990000632510203316 951 $aX.3.A. 1531(V F 4)$b101266 L.M.$cV F 959 $aBK 969 $aUMA 996 $aPasseggiate sentimentali$9958411 997 $aUNISA LEADER 01823nam 2200505 450 001 9910480773103321 005 20170918215919.0 010 $a0-8218-9919-8 035 $a(CKB)3360000000464035 035 $a(EBL)3113544 035 $a(SSID)ssj0000976600 035 $a(PQKBManifestationID)11524878 035 $a(PQKBTitleCode)TC0000976600 035 $a(PQKBWorkID)11019967 035 $a(PQKB)10423499 035 $a(MiAaPQ)EBC3113544 035 $a(PPN)19541005X 035 $a(EXLCZ)993360000000464035 100 $a20720619d1972 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aTrellis theory /$fby Helen Skala 210 1$aProvidence, Rhode Island :$cAmerican Mathematical Society,$d1972. 215 $a1 online resource (49 p.) 225 1 $aMemoirs of the American Mathematical Society ;$vnumber 121 300 $aDescription based upon print version of record. 311 $a0-8218-1821-X 320 $aBibliography: pages 42. 327 $a""Table of Contents""; ""Introduction""; ""Pseudo-ordered Sets""; ""Trellises""; ""Complete Trellises""; ""Transitive and Associative Elements""; ""Distributive Elements""; ""Modular Trellises""; ""Dimension Functions""; ""Geometric Modular Trellises""; ""Boolean Lattices""; ""Mappings""; ""Ideals""; ""Congruence Relations""; ""Trellis Groups""; ""Bibliography"" 410 0$aMemoirs of the American Mathematical Society ;$vno. 121. 606 $aLattice theory 608 $aElectronic books. 615 0$aLattice theory. 676 $a511/.33 700 $aSkala$b Helen$0902901 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910480773103321 996 $aTrellis theory$92018499 997 $aUNINA LEADER 02980nam 2200625Ia 450 001 9910778203803321 005 20230421045610.0 010 $a1-282-23728-4 010 $a9786612237287 010 $a1-4443-1392-4 035 $a(CKB)1000000000789689 035 $a(EBL)454426 035 $a(OCoLC)609844433 035 $a(SSID)ssj0000360499 035 $a(PQKBManifestationID)11262463 035 $a(PQKBTitleCode)TC0000360499 035 $a(PQKBWorkID)10347290 035 $a(PQKB)11536479 035 $a(MiAaPQ)EBC454426 035 $a(Au-PeEL)EBL454426 035 $a(CaPaEBR)ebr10317802 035 $a(CaONFJC)MIL223728 035 $a(EXLCZ)991000000000789689 100 $a19940715d1994 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aGeographical population analysis$b[electronic resource] $etools for the analysis of biodiversity /$fBrian A. Maurer 210 $aOxford ;$aBoston $cBlackwell Scientific Publications$d1994 215 $a1 online resource (142 p.) 225 1 $aMethods in ecology 300 $aDescription based upon print version of record. 311 $a0-632-03741-5 320 $aIncludes bibliographical references (p. 119-123) and index. 327 $aGeographical Population Analysis: Tools for the Analysis of Biodiversity; Contents; The Methods In Ecology Series; Preface; Acknowledgements; CHAPTER 1: Geographical population analysis and the conservation of biological diversity; CHAPTER 2: Regionalized variable theory for geographical population analysis; CHAPTER 3: Analysis of geographical range size, shape and orientation; CHAPTER 4: Analysis of geographical variation in abundance; CHAPTER 5: Geographical population dynamics; CHAPTER 6: The challenges of geographical population analysis; References; Index 330 $aConservation biology -- using concepts from traditional resource management and modern population biology to preserve biological diversity -- has emerged as one of the most important areas of ecology In order to really understand the problems of decreasing diversity and the solutions to maintaining it, the attention of ecologists must be focused on larger spatial and temporal scales than they are used to. The book discusses methods and statistical techniques that can be used to analyze spatial patterns in geographic populations. These techniques incorporate ideas from fractal geometry to devel 410 0$aMethods in ecology. 606 $aPopulation biology 606 $aBiogeography 606 $aBiodiversity 615 0$aPopulation biology. 615 0$aBiogeography. 615 0$aBiodiversity. 676 $a304.6 676 $a574.5248 700 $aMaurer$b Brian A$0531342 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910778203803321 996 $aGeographical population analysis$9898900 997 $aUNINA