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  <titleInfo>
    <title>Spatial analysis</title>
    <subTitle>: a guide for ecologists</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Mark R T Dale</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Fortin, Marie-Josee</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">New York</placeTerm>
    </place>
    <publisher>Cambridge University Press</publisher>
    <dateIssued>2025</dateIssued>
    <edition>3</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <language>
    <languageTerm authority="iso639-2b" type="code">Eng</languageTerm>
  </language>
  <language>
    <languageTerm authority="iso639-2b" type="code">lis</languageTerm>
  </language>
  <language>
    <languageTerm authority="iso639-2b" type="code">h</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xii, 402p. PB 24.3x16.9cm</extent>
  </physicalDescription>
  <abstract>Designed for researchers in ecology at all levels and career stages, from students and postdoctoral fellows to seasoned professionals, this third edition reflects the significant advances in quantitative analysis of the past decade. It provides updated examples and methods, with reduced emphasis on older techniques that have seen limited use in recent ecological literature. The authors cover new and emerging approaches, including Hierarchical Bayesian analysis and spatial-temporal methods. A key feature is the integration of ecological and statistical concepts, highlighting the critical role that this type of analysis plays in ecological understanding. The book provides up-to-date summaries of methodological advancements in spatial and spate-temporal analysis, along with insights into future developments in areas such as spatial graphs, multi-level networks, and machine learning applications. It also offers practical examples and guidance to help researchers select, apply, and interpret the appropriate methods.</abstract>
  <subject>
    <topic>Ecology</topic>
  </subject>
  <classification authority="ddc">577.0151 DALS</classification>
  <identifier type="isbn">9781009158671</identifier>
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    <recordCreationDate encoding="marc">260302</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260306134132.0</recordChangeDate>
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