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Mapping species distributions :spati...

Franklin, Janet, (1959-)

Mapping species distributions :spatial inference and prediction /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	578.09
書名/作者:	Mapping species distributions : : spatial inference and prediction // Janet Franklin ; with contributions by Jennifer A. Miller.
作者:	Franklin, Janet,
其他作者:	Miller, Jennifer A.
出版者:	Cambridge ; : Cambridge University Press,, 2009.
面頁冊數:	xviii, 320 p. : : ill., maps (some col.) ;; 24 cm.
標題:	Biogeography.
標題:	Biogeography - Mathematical models.
ISBN:	9780521700023 (pbk.) :
ISBN:	0521700027 (pbk.)
ISBN:	9780521876353 (hbk.)
ISBN:	0521876354 (hbk.)
書目註:	Includes bibliographical references and index.
內容註:	PART I. HISTORY AND ECOLOGICAL BASIS OF SPECIES DISTRIBUTION MODELING: Species distribution modeling -- Why do we need species' distribution models? -- Ecological understanding of species' distributions -- PART II. THE DATA NEEDED FOR MODELING SPECIES DISTRIBUTIONS: Data for species' distribution models: the biological data -- Data for species' distribution models: the environmental data -- PART III. AN OVERVIEW OF THE MODELING METHODS: Statistical models - modern regression -- Machine learning methods -- Classification, similarity and other methods for presence-only data -- PART IV. MODEL EVALUATION AND IMPLEMENTATION: Model evaluation -- Implementation of species' distribution models.
摘要、提要註:	"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, researchers and practitioners in a broad range of environmental sciences including ecology, geography, conservation biology, and natural resources management." --NHBS Environment Bookstore.

Mapping species distributions :spatial inference and prediction /
Franklin, Janet,1959-

Mapping species distributions :spatial inference and prediction /Janet Franklin ; with contributions by Jennifer A. Miller. - Cambridge ;Cambridge University Press,2009. - xviii, 320 p. :ill., maps (some col.) ;24 cm. - Ecology, biodiversity and conservation. - Ecology, biodiversity and conservation..

Includes bibliographical references and index.

PART I. HISTORY AND ECOLOGICAL BASIS OF SPECIES DISTRIBUTION MODELING: Species distribution modeling -- Why do we need species' distribution models? -- Ecological understanding of species' distributions -- PART II. THE DATA NEEDED FOR MODELING SPECIES DISTRIBUTIONS: Data for species' distribution models: the biological data -- Data for species' distribution models: the environmental data -- PART III. AN OVERVIEW OF THE MODELING METHODS: Statistical models - modern regression -- Machine learning methods -- Classification, similarity and other methods for presence-only data -- PART IV. MODEL EVALUATION AND IMPLEMENTATION: Model evaluation -- Implementation of species' distribution models.

"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, researchers and practitioners in a broad range of environmental sciences including ecology, geography, conservation biology, and natural resources management." --NHBS Environment Bookstore.

ISBN: 9780521700023 (pbk.) :NTD 1,830

LCCN: 2010280434

Nat. Bib. No.: GBA991091bnb

Nat. Bib. Agency Control No.: 015371376UkSubjects--Topical Terms:

336576
Biogeography.

LC Class. No.: QH84 / .F73 2009

Dewey Class. No.: 578.09

Mapping species distributions :spatial inference and prediction /
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505 0 $a PART I. HISTORY AND ECOLOGICAL BASIS OF SPECIES DISTRIBUTION MODELING: Species distribution modeling -- Why do we need species' distribution models? -- Ecological understanding of species' distributions -- PART II. THE DATA NEEDED FOR MODELING SPECIES DISTRIBUTIONS: Data for species' distribution models: the biological data -- Data for species' distribution models: the environmental data -- PART III. AN OVERVIEW OF THE MODELING METHODS: Statistical models - modern regression -- Machine learning methods -- Classification, similarity and other methods for presence-only data -- PART IV. MODEL EVALUATION AND IMPLEMENTATION: Model evaluation -- Implementation of species' distribution models.
520 2 $a "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, researchers and practitioners in a broad range of environmental sciences including ecology, geography, conservation biology, and natural resources management." --NHBS Environment Bookstore.
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700 1 $a Miller, Jennifer A. $q (Jennifer Anne) $3 456063
830 0 $a Ecology, biodiversity and conservation. $3 456064