LEADER 01141nam0 22003131i 450 001 RML0294245 005 20231121125738.0 010 $a1584884541 100 $a20121121d2006 ||||0itac50 ba 101 | $aeng 102 $aus 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 1 $aRobust statistical methods with R$fJana Jureckova, Jan Picek 210 $aBoca Raton $cChapman & Hall/CRC $d2006 215 $aX, 197 p.$d24 cm 606 $aStatistica$2FIR$3RMLC005423$9I 606 $aR (Computer program language)$2FIR$3RMLC385106$9I 676 $a519.5$9$v20 700 1$aJureckova$b, Jana$3RMLV190040$0105263 701 1$aPicek$b, Jan$3RMLV190039$0502451 801 3$aIT$bIT-01$c20121121 850 $aIT-FR0098 899 $aBiblioteca Area Giuridico Economica$bFR0098 912 $aRML0294245 950 0$aBiblioteca Area Giuridico Economica$d 53DIPSE 519.5/39$e 53VM 0000638915 VM barcode:BAGE000798. - Inventario:66. - Fondo:Sala consultazioneVM$fA $h20061017$i20121204 977 $a 53 996 $aRobust statistical methods with R$9709728 997 $aUNICAS LEADER 05193nam 2200709 a 450 001 9910956787303321 005 20250530221845.0 010 $a9781136340611 010 $a1-136-34060-2 010 $a0-203-12365-4 035 $a(CKB)2670000000387309 035 $a(EBL)1244769 035 $a(OCoLC)851695520 035 $a(SSID)ssj0000918637 035 $a(PQKBManifestationID)12402369 035 $a(PQKBTitleCode)TC0000918637 035 $a(PQKBWorkID)10906809 035 $a(PQKB)10161052 035 $a(MiAaPQ)EBC1244769 035 $a(CaSebORM)9780415517874 035 $a(Au-PeEL)EBL1244769 035 $a(CaPaEBR)ebr10728168 035 $a(CaONFJC)MIL502788 035 $a(EXLCZ)992670000000387309 100 $a20130715d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aRedeeming REDD $epolicies, incentives, and social feasibility in avoided deforestation /$fMichael I. Brown 205 $a1st edition 210 $aOxfordshire, England ;$aNew York $cRoutledge$dc2013 215 $a1 online resource (345 p.) 300 $aDescription based upon print version of record. 311 08$a0-415-51786-9 311 08$a0-415-51787-7 320 $aIncludes bibliographical references and index. 327 $aCover; Half Title; Title Page; Copyright Page; Table of Contents; List of illustrations; Acknowledgements; List of acronyms and abbreviations; Introduction; A tremendous literature to build upon; 1.Grounds for pessimism and optimism; Josephstaal and REDD; The basic controversy; Premises; Climate change urgency; What can (or cannot) be learned from past experience?; Pushback from REDD proponents on feasibility?; Housing bubbles and REDD; Why planners may be optimistic about participation; Winners and losers; REDD's evolution amidst controversy 327 $aWhy REDD is seen as a solution to deforestation and forest degradationTaking into account deforestation drivers; Social feasibility: the key for moving forward; Framing REDD; How best practice language enables feasibility to be bypassed; A new social contract is needed; Intellectual inspiration; The two preconditions to success; 2.Theses and theory of change; Current gaps in REDD; Thesis #1: establishing a new social contract is imperative; Thesis #2: empowering local people is key to REDD working; The framework for a theory of change; Rights and REDD; The basic REDD appeal 327 $aComplications in implementing the initial REDD visionSystemic challenges; Psychological explanations for REDD; Best practice and REDD; Outline for a solution; Communities can demand-drive REDD; Rationale for empowering local managers; Capitalizing on communities: subsidiarity, democraticrepresentation, tenure, and empowerment through capacity building; Strategy for approaching social feasibility in REDD; Better TMAs; Lessons from integrated conservation and development projects; Lessons from CBNRM; Ultimately it will be about bargaining zones and not carbon rights; Bargaining zones 327 $aWhat can economic anthropology contribute to understanding REDD?Social science expertise and process issues: engaging people in planning and decision making cannot be substituted for; How past development failure has implications for REDD; 3.REDD's path to date; Climate change debates and REDD as one proposed solution; REDD as a leading mitigation approach; What is REDD+?; REDD+ and the green economy; Why REDD is so politically expedient; Hyperbole around payments under REDD; Arguments pro and con for investing in climate change mitigation; Deforestation drivers 327 $aInternational demand and deforestation driversSpecies extinction, protected areas, and REDD; Poverty and REDD; What learning is being generated in the Readiness Phase?; Where conventional wisdom falls apart in REDD: Readiness Plan Idea Notes, Readiness Plans, voluntary standards, consultation, political capital; Readiness Plan Idea Notes; Readiness Plans; Weak political capital and poor R-PIN and R-P results; Norwegian oil and REDD; Other formulations for addressing the underlying problems; REDD and "green grabbing"; The conventional wisdom of carbon trading challenged 327 $aAlternative models for avoiding deforestation and sequestering carbon 330 $a

Public and private initiatives for reducing emissions from deforestation and forest degradation (REDD) have been widely endorsed by policy-makers. This book presents a major critique of the aims and policies of REDD as currently structured, particularly in terms of their social feasibility.

606 $aCarbon sequestration 606 $aDeforestation$xControl 606 $aForest conservation 606 $aForest protection 615 0$aCarbon sequestration. 615 0$aDeforestation$xControl. 615 0$aForest conservation. 615 0$aForest protection. 676 $a333.75/16 700 $aBrown$b Michael I$096345 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910956787303321 996 $aRedeeming REDD$94384561 997 $aUNINA LEADER 01965nam 2200433z- 450 001 9911007197503321 005 20210614101915 010 $a9780128182413 010 $a0128182415 010 $a9780128180112 010 $a0128180110 035 $a(CKB)4100000010570972 035 $a(MiAaPQ)EBC6128097 035 $a(FR-PaCSA)88914810 035 $a(VLeBooks)9780128182413 035 $a(FRCYB88914810)88914810 035 $a(EXLCZ)994100000010570972 100 $a20251105d2020 u| | 101 0 $aeng 135 $aurun| ||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSpacecraft Collision Avoidance Technology /$fRongzhi, Zhang [and others] 210 1$aSan Diego, CA, USA$cElsevier Science$d2020 215 $a1 online resource 330 $a Spacecraft Collision Avoidance Technology presents the theory and practice of space collision avoidance. The title gives models of time and space environment, their impact on high-precision orbit prediction, considers optimal orbit determination methods and models in different warning stages, and establishes basic models for warning and avoidance. Chapters present an outline of spacecraft collision warning strategy, elaborate on the basics of orbital calculation for collision avoidance, consider space object detection technology, detail space environment and object orbit, give a method for spacecraft collision warning orbit calculation, and finally, demonstrate a strategy for spacecraft collision warning and avoidance. 606 $aSpace vehicle accidents 606 $aSpace vehicles 615 0$aSpace vehicle accidents. 615 0$aSpace vehicles. 676 $a629.4742 700 $aRongzhi$b Zhang$01823367 701 $aKaizhong$b Yang$0253490 801 0$bFR-PaCSA 906 $aBOOK 912 $a9911007197503321 996 $aSpacecraft Collision Avoidance Technology$94389978 997 $aUNINA