Description

Book Synopsis
Maps of species' distributions or habitat suitability are required for many aspects of environmental research, resource management and conservation planning. These include biodiversity assessment, reserve design, habitat management and restoration, species and habitat conservation plans and predicting the effects of environmental change on species and ecosystems. The proliferation of methods and uncertainty regarding their effectiveness can be daunting to researchers, resource managers and conservation planners alike. Franklin summarises the methods used in species distribution modeling (also called niche modeling) and presents a framework for spatial prediction of species distributions based on the attributes (space, time, scale) of the data and questions being asked. The framework links theoretical ecological models of species distributions to spatial data on species and environment, and statistical models used for spatial prediction. Providing practical guidelines to students, resea

Trade Review
'This is a very useful book that we commend to anyone interested in species distribution models … This is probably the best book available on species distribution models.' Oryx

Table of Contents
Part I. History and Ecological Basis of Species' Distribution Modeling: 1. Species distribution modeling; 2. Why do we need species' distribution models?; 3. Ecological understanding of species' distributions; Part II. The Data Needed for Modeling Species' Distributions: 4. Data for species' distribution models: the biological data; 5. Data for species' distribution models: the environmental data; Part III. An Overview of the Modeling Methods: 6. Statistical models - modern regression; 7. Machine learning methods; 8. Classification, similarity and other methods for presence-only data; Part IV. Model Evaluation and Implementation: 9. Model evaluation; 10. Implementation of species' distribution models.

Mapping Species Distributions Spatial Inference and Prediction Ecology Biodiversity and Conservation

    Product form

    £51.29

    Includes FREE delivery

    RRP £53.99 – you save £2.70 (5%)

    Order before 4pm tomorrow for delivery by Thu 2 Jul 2026.

    A Paperback by Janet Franklin

    15 in stock

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Mapping Species Distributions Spatial Inference and Prediction Ecology Biodiversity and Conservation by Janet Franklin

      Publisher: Cambridge University Press
      Publication Date: 1/7/2010 12:00:00 AM
      ISBN13: 9780521700023, 978-0521700023
      ISBN10: 0521700027

      Description

      Book Synopsis
      Maps of species' distributions or habitat suitability are required for many aspects of environmental research, resource management and conservation planning. These include biodiversity assessment, reserve design, habitat management and restoration, species and habitat conservation plans and predicting the effects of environmental change on species and ecosystems. The proliferation of methods and uncertainty regarding their effectiveness can be daunting to researchers, resource managers and conservation planners alike. Franklin summarises the methods used in species distribution modeling (also called niche modeling) and presents a framework for spatial prediction of species distributions based on the attributes (space, time, scale) of the data and questions being asked. The framework links theoretical ecological models of species distributions to spatial data on species and environment, and statistical models used for spatial prediction. Providing practical guidelines to students, resea

      Trade Review
      'This is a very useful book that we commend to anyone interested in species distribution models … This is probably the best book available on species distribution models.' Oryx

      Table of Contents
      Part I. History and Ecological Basis of Species' Distribution Modeling: 1. Species distribution modeling; 2. Why do we need species' distribution models?; 3. Ecological understanding of species' distributions; Part II. The Data Needed for Modeling Species' Distributions: 4. Data for species' distribution models: the biological data; 5. Data for species' distribution models: the environmental data; Part III. An Overview of the Modeling Methods: 6. Statistical models - modern regression; 7. Machine learning methods; 8. Classification, similarity and other methods for presence-only data; Part IV. Model Evaluation and Implementation: 9. Model evaluation; 10. Implementation of species' distribution models.

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account