ISBN: 9780128146910 - occupancy estimation and modeling: inferring patterns and dynamics of species occurrence (4 resultados)

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  • Idioma: Inglés

    Editorial: Academic Press, 2017

    0128146915 / 9780128146910

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    Librería: Facetextbooks, LITTLE ROCK, AR, Estados Unidos de AmericaFacetextbooks

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    Condición: Usado - Aceptable

    EUR 88,59

    Envío por EUR 5,37 
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    Cantidad disponible: 1 disponible

    paperback. Condición: Good. May contain some writing/highlighting. Cover shows wear from normal use. Supplemental materials such as CDs or access codes are not included unless otherwise noted.

  • Idioma: Inglés

    Editorial: Elsevier Science, 2017

    0128146915 / 9780128146910

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    Condición: Nuevo

    EUR 80,55

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    Cantidad disponible: 5 disponibles

    Taschenbuch. Condición: Neu. Occupancy Estimation and Modeling | Inferring Patterns and Dynamics of Species Occurrence | Darryl I MacKenzie (u. a.) | Taschenbuch | Englisch | 2017 | Elsevier Science | EAN 9780128146910 | Verantwortliche Person für die EU: Kolibri 360 GmbH, Ettore-Bugatti-Str. 6-14, 51149 Köln, produktsicherheit[at]kolibri360[dot]de | Anbieter: preigu. …

  • Idioma: Inglés

    Editorial: Elsevier Science Nov 2017, 2017

    0128146915 / 9780128146910

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Condición: Nuevo

    EUR 87,95

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    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition, provides a synthesis of model-based approaches for analyzing presence-absence data, allowing for imperfect detection. Beginning from the relatively simple case of estimating the proportion of area or sampling units occupied at the time of surveying, the authors describe a wide variety of extensions that have been developed since the early 2000s. This provides an improved insight about species and community ecology, including, detection heterogeneity; correlated detections; spatial autocorrelation; multiple states or classes of occupancy; changes in occupancy over time; species co-occurrence; community-level modeling, and more. Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition has been greatly expanded and detail is provided regarding the estimation methods and examples of their application are given. Important study design recommendations are also covered to give a well rounded view of modeling. 648 pp. Englisch.…

  • Idioma: Inglés

    Editorial: Elsevier Science, 2017

    0128146915 / 9780128146910

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Condición: Nuevo

    EUR 102,80

    Envío por EUR 42,29 
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    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition, provides a synthesis of model-based approaches for analyzing presence-absence data, allowing for imperfect detection. Beginning from the relatively simple case of estimating the proportion of area or sampling units occupied at the time of surveying, the authors describe a wide variety of extensions that have been developed since the early 2000s. This provides an improved insight about species and community ecology, including, detection heterogeneity; correlated detections; spatial autocorrelation; multiple states or classes of occupancy; changes in occupancy over time; species co-occurrence; community-level modeling, and more. Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition has been greatly expanded and detail is provided regarding the estimation methods and examples of their application are given. Important study design recommendations are also covered to give a well rounded view of modeling.…