000 03081nam a22006135i 4500
001 978-3-031-64518-1
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008 241031s2024 sz | s |||| 0|eng d
020 _a9783031645181
_9978-3-031-64518-1
024 7 _a10.1007/978-3-031-64518-1
_2doi
050 4 _aQH540-549.5
072 7 _aPSAF
_2bicssc
072 7 _aSCI020000
_2bisacsh
072 7 _aPSAF
_2thema
100 1 _aZhao, Qing.
_eauthor.
_0(orcid)0000-0003-2759-1114
_1https://orcid.org/0000-0003-2759-1114
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_986840
245 1 0 _aBayesian Analysis of Spatially Structured Population Dynamics
_h[electronic resource] /
_cby Qing Zhao.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2024.
300 _aXVI, 386 p. 58 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aEcological Studies, Analysis and Synthesis,
_x2196-971X ;
_v253
505 0 _aChapter 1: Background -- Chapter 2: Occupancy Models -- Chapter 3: N-mixture models -- Chapter 4: Integrated population models (IPMs) -- Chapter 5: Spatial capture-recapture (SCR) models -- Chapter 6: Summary and outlook.
520 _aThe book introduces a series of state-of-art Bayesian models that can be used to understand and predict spatially structured population dynamics in our changing world. Several chapters are devoted to introducing models that utilize detection/non-detection data, count data, combined count and capture-recapture data, and spatial capture-recapture data, respectively. The book provides R code of Metropolis-Hastings algorithms that allow efficient computing of these complex models. The book is aimed at graduate students and researchers who are interested in using and further developing these models.
650 0 _aEcology .
_968629
650 0 _aBiometry.
_965981
650 0 _aBiotic communities.
_968627
650 0 _aPopulation biology.
_972060
650 0 _aEcology
_xMethodology.
_974095
650 0 _aLandscape ecology.
650 0 _aZoology.
_969024
650 1 4 _aEcology.
_968629
650 2 4 _aBiostatistics.
_965985
650 2 4 _aCommunity and Population Ecology.
_973779
650 2 4 _aEcological Modelling.
_974096
650 2 4 _aLandscape Ecology.
650 2 4 _aZoology.
_969024
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031645174
776 0 8 _iPrinted edition:
_z9783031645198
830 0 _aEcological Studies, Analysis and Synthesis,
_x2196-971X ;
_v253
_969030
856 4 0 _uhttps://doi.org/10.1007/978-3-031-64518-1
912 _aZDB-2-SBL
912 _aZDB-2-SXB
999 _c64618
_d64618