eBook
Spatio-Temporal Models for Ecologists
| Τίτλος: | Spatio-Temporal Models for Ecologists |
|---|---|
| Περιγραφή: | Ecological dynamics are tremendously complicated and are studied at a variety of spatial and temporal scales. Ecologists often simplify analysis by describing changes in density of individuals across a landscape, and statistical methods are advancing rapidly for studying spatio-temporal dynamics. However, spatio-temporal statistics is often presented using a set of principles that may seem very distant from ecological theory or practice. This book seeks to introduce a minimal set of principles and numerical techniques for spatio-temporal statistics that can be used to implement a wide range of real-world ecological analyses regarding animal movement, population dynamics, community composition, causal attribution, and spatial dynamics. We provide a step-by-step illustration of techniques that combine core spatial-analysis packages in R with low-level computation using Template Model Builder. Techniques are showcased using real-world data from varied ecological systems, providing a toolset for hierarchical modelling of spatio-temporal processes. Spatio-Temporal Models for Ecologists is meant for graduate level students, alongside applied and academic ecologists.Key Features: Foundational ecological principles and analyses Thoughtful and thorough ecological examples Analyses conducted using a minimal toolbox and fast computation Code using R and TMB included in the book and available online |
| Συγγραφείς: | James Thorson, Kasper Kristensen |
| Resource Type: | eBook. |
| Θέματα: | Ecology--Statistical methods, Ecology--Mathematical models, Spatial ecology--Mathematical models, R (Computer program language) |
| Categories: | MATHEMATICS / Probability & Statistics / General, NATURE / Ecology |
| Βάση Δεδομένων: | eBook Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edsebk DbLabel: eBook Index An: 3782652 RelevancyScore: 975 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 974.776672363281 |
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| Items | – Name: Title Label: Title Group: Ti Data: Spatio-Temporal Models for Ecologists – Name: Abstract Label: Description Group: Ab Data: Ecological dynamics are tremendously complicated and are studied at a variety of spatial and temporal scales. Ecologists often simplify analysis by describing changes in density of individuals across a landscape, and statistical methods are advancing rapidly for studying spatio-temporal dynamics. However, spatio-temporal statistics is often presented using a set of principles that may seem very distant from ecological theory or practice. This book seeks to introduce a minimal set of principles and numerical techniques for spatio-temporal statistics that can be used to implement a wide range of real-world ecological analyses regarding animal movement, population dynamics, community composition, causal attribution, and spatial dynamics. We provide a step-by-step illustration of techniques that combine core spatial-analysis packages in R with low-level computation using Template Model Builder. Techniques are showcased using real-world data from varied ecological systems, providing a toolset for hierarchical modelling of spatio-temporal processes. Spatio-Temporal Models for Ecologists is meant for graduate level students, alongside applied and academic ecologists.Key Features: Foundational ecological principles and analyses Thoughtful and thorough ecological examples Analyses conducted using a minimal toolbox and fast computation Code using R and TMB included in the book and available online – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22James+Thorson%22">James Thorson</searchLink><br /><searchLink fieldCode="AR" term="%22Kasper+Kristensen%22">Kasper Kristensen</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Ecology--Statistical+methods%22">Ecology--Statistical methods</searchLink><br /><searchLink fieldCode="DE" term="%22Ecology--Mathematical+models%22">Ecology--Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Spatial+ecology--Mathematical+models%22">Spatial ecology--Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22R+%28Computer+program+language%29%22">R (Computer program language)</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22MATHEMATICS+%2F+Probability+%26+Statistics+%2F+General%22">MATHEMATICS / Probability & Statistics / General</searchLink><br /><searchLink fieldCode="ZK" term="%22NATURE+%2F+Ecology%22">NATURE / Ecology</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=3782652 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 577.0151 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Ecology--Statistical methods Type: general – SubjectFull: Ecology--Mathematical models Type: general – SubjectFull: Spatial ecology--Mathematical models Type: general – SubjectFull: R (Computer program language) Type: general Titles: – TitleFull: Spatio-Temporal Models for Ecologists Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: James Thorson – PersonEntity: Name: NameFull: Kasper Kristensen – PersonEntity: Name: NameFull: James Thorson – PersonEntity: Name: NameFull: Kasper Kristensen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2024 – D: 29 M: 03 Type: profile Y: 2024 Identifiers: – Type: isbn-print Value: 9781032531014 – Type: isbn-electronic Value: 9781003410294 – Type: isbn-electronic Value: 9781003851837 – Type: isbn-electronic Value: 9781003851868 Titles: – TitleFull: Spatio-Temporal Models for Ecologists Type: main |
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