Cargando…

Mapping species distributions : spatial inference and prediction /

Detalles Bibliográficos
Autor principal: Franklin, Janet, 1959-
Otros Autores: Miller, Jennifer A. (Jennifer Anne)
Formato: Libro
Lenguaje:English
Publicado: Cambridge ; New York : Cambridge University Press, 2009.
Colección:Ecology, biodiversity and conservation.
Materias:

MARC

LEADER 00000cam a2200000Ia 4500
001 ocn503631252
003 OCoLC
005 20141204201322.0
008 110216s2009 enkab b 001 0 eng d
010 |a 2010280434 
035 |a (Sirsi) i9780521876353 
040 |a UKM  |c UKM  |d UV# 
020 |a 9780521876353 (pasta dura) 
020 |a 0521876354 (pasta dura) 
020 |a 9780521700023 (rústica) 
020 |a 0521700027 (rústica) 
050 0 4 |a QH84  |b F72 2009 
082 0 0 |a 578.09  |2 22 
100 1 |a Franklin, Janet,  |d 1959- 
245 1 0 |a Mapping species distributions :  |b spatial inference and prediction /  |c Janet Franklin ; with contributions by Jennifer A. Miller. 
260 |a Cambridge ;  |a New York :  |b Cambridge University Press,  |c 2009. 
300 |a xviii, 320 p. :  |b il., mapas (algunos col.) ;  |c 24 cm. 
490 1 |a Ecology, biodiversity and conservation 
504 |a Incluye bibliografías e índice. 
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. 
650 4 |a Biogeografía. 
650 4 |a Biogeografía  |x Modelos matemáticos. 
700 1 |a Miller, Jennifer A.  |q (Jennifer Anne). 
830 0 |a Ecology, biodiversity and conservation. 
901 |a Z0  |b UV# 
902 |a DGBUV 
596 |a 73 
942 |c LIBRO 
999 |c 240928  |d 240928