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Predictive Species and Habitat Modeling in Landscape Ecology: Concepts and Applications - Couverture rigide
Synopsis
Most projects in Landscape Ecology, at some point, define a species-habitat association. These models are inherently spatial, dealing with landscapes and their configurations. Whether coding behavioral rules for dispersal of simulated organisms through simulated landscapes, or designing the sampling extent of field surveys and experiments in real landscapes, landscape ecologists must make assumptions about how organisms experience and utilize the landscape. These convenient working postulates allow modelers to project the model in time and space, yet rarely are they explicitly considered. The early years of landscape ecology necessarily focused on the evolution of effective data sources, metrics, and statistical approaches that could truly capture the spatial and temporal patterns and processes of interest. Now that these tools are well established, we reflect on the ecological theories that underpin the assumptions commonly made during species distribution modeling and mapping. This is crucial for applying models to questions of global sustainability.
Due to the inherent use of GIS for much of this kind of research, and as several authors' research involves the production of multicolored map figures, there would be an 8-page color insert. Additional color figures could be made available through a digital archive, or by cost contributions of the chapter authors. Where applicable, would be relevant chapters' GIS data and model code available through a digital archive. The practice of data and code sharing is becoming standard in GIS studies, is an inherent method of this book, and will serve to add additional research value to the book for both academic and practitioner audiences.
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Predictive Species and Habitat Modeling in Landscape Ecology: Concepts and Applications
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Springer, 2010
ISBN 10 : 1441973893
ISBN 13 : 9781441973894
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Couverture rigide
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Predictive Species and Habitat Modeling in Landscape Ecology: Concepts and Applications
Edité par
Springer, 2010
ISBN 10 : 1441973893
ISBN 13 : 9781441973894
Ancien ou d'occasion
Couverture rigide
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Predictive Species and Habitat Modeling in Landscape Ecology: Concepts and Applications [Hardcover] [Nov 30, 2010] Drew, C. Ashton; Wiersma, Yolanda F. and Huettmann, Falk
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Predictive Species and Habitat Modeling (eng)
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Predictive Species and Habitat Modeling in Landscape Ecology : Concepts and Applications
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Springer New York, 2010
ISBN 10 : 1441973893
ISBN 13 : 9781441973894
Ancien ou d'occasion
Couverture rigide
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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 328 | Sprache: Englisch | Produktart: Bücher | Most projects in Landscape Ecology, at some point, define a species-habitat association. These models are inherently spatial, dealing with landscapes and their configurations. Whether coding behavioral rules for dispersal of simulated organisms through simulated landscapes, or designing the sampling extent of field surveys and experiments in real landscapes, landscape ecologists must make assumptions about how organisms experience and utilize the landscape. These convenient working postulates allow modelers to project the model in time and space, yet rarely are they explicitly considered. The early years of landscape ecology necessarily focused on the evolution of effective data sources, metrics, and statistical approaches that could truly capture the spatial and temporal patterns and processes of interest. Now that these tools are well established, we reflect on the ecological theories that underpin the assumptions commonly made during species distribution modeling and mapping. This is crucial for applying models to questions of global sustainability. Due to the inherent use of GIS for much of this kind of research, and as several authors¿ research involves the production of multicolored map figures, there would be an 8-page color insert. Additional color figures could be made available through a digital archive, or by cost contributions of the chapter authors. Where applicable, would be relevant chapters¿ GIS data and model code available through a digital archive. The practice of data and code sharing is becoming standard in GIS studies, is an inherent method of this book, and will serve to add additional research value to the book for both academic and practitioner audiences. N° de réf. du vendeur 8358372/12
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Predictive Species and Habitat Modeling in Landscape Ecology
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Springer New York, 2010
ISBN 10 : 1441973893
ISBN 13 : 9781441973894
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Highlights how fundamental ecological theories are being explicitly integrated into the model building processesoffers practical examples of how modelers are addressing the conflict between the complexity of ecological systems and the relative simplicity of. N° de réf. du vendeur 4176324
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Predictive Species and Habitat Modeling in Landscape Ecology: Concepts and Applications
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Predictive Species and Habitat Modeling in Landscape Ecology
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Springer New York Nov 2010, 2010
ISBN 10 : 1441973893
ISBN 13 : 9781441973894
Neuf
Couverture rigide
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Most projects in Landscape Ecology, at some point, define a species-habitat association. These models are inherently spatial, dealing with landscapes and their configurations. Whether coding behavioral rules for dispersal of simulated organisms through simulated landscapes, or designing the sampling extent of field surveys and experiments in real landscapes, landscape ecologists must make assumptions about how organisms experience and utilize the landscape. These convenient working postulates allow modelers to project the model in time and space, yet rarely are they explicitly considered. The early years of landscape ecology necessarily focused on the evolution of effective data sources, metrics, and statistical approaches that could truly capture the spatial and temporal patterns and processes of interest. Now that these tools are well established, we reflect on the ecological theories that underpin the assumptions commonly made during species distribution modeling and mapping. This is crucial for applying models to questions of global sustainability. Due to the inherent use of GIS for much of this kind of research, and as several authors' research involves the production of multicolored map figures, there would be an 8-page color insert. Additional color figures could be made available through a digital archive, or by cost contributions of the chapter authors. Where applicable, would be relevant chapters' GIS data and model code available through a digital archive. The practice of data and code sharing is becoming standard in GIS studies, is an inherent method of this book, and will serve to add additional research value to the book for both academic and practitioner audiences. 328 pp. Englisch. N° de réf. du vendeur 9781441973894
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Predictive Species and Habitat Modeling in Landscape Ecology: Concepts and Applications
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Predictive Species and Habitat Modeling in Landscape Ecology: Concepts and Applications : Concepts and Applications
Edité par
Springer New York, 2010
ISBN 10 : 1441973893
ISBN 13 : 9781441973894
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Gebundene Ausgabe. Etat : Neu. Neu neuware, importqualität, auf lager - Most projects in Landscape Ecology, at some point, define a species-habitat association. These models are inherently spatial, dealing with landscapes and their configurations. Whether coding behavioral rules for dispersal of simulated organisms through simulated landscapes, or designing the sampling extent of field surveys and experiments in real landscapes, landscape ecologists must make assumptions about how organisms experience and utilize the landscape. These convenient working postulates allow modelers to project the model in time and space, yet rarely are they explicitly considered. The early years of landscape ecology necessarily focused on the evolution of effective data sources, metrics, and statistical approaches that could truly capture the spatial and temporal patterns and processes of interest. Now that these tools are well established, we reflect on the ecological theories that underpin the assumptions commonly made during species distribution modeling and mapping. This is crucial for applying models to questions of global sustainability. N° de réf. du vendeur INF1000426020
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