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Modelling Environmental Dynamics

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Cover of 'Modelling Environmental Dynamics'

Table of Contents

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    Book Overview
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    Chapter 1 Advances in geomatic simulations for environmental dynamics
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    Chapter 2 Land use / Land cover change dynamics in the Mexican highlands: current situation and long term scenarios
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    Chapter 3 Tropical deforestation modelling: comparative analysis of different predictive approaches. The case study of Peten, Guatemala
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    Chapter 4 Evaluation of prospective modelling methods: fuzzy logics and cellular automaton applied to deforestation in Venezuela
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    Chapter 5 Prospective modelling of environmental dynamics: A methodological comparison applied to mountain land cover changes
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    Chapter 6 GIS-supported modelling and diagnosis of fire risk at the wildland urban interface. A methodological approach for operational management
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    Chapter 7 Participatory modelling of social and ecological dynamics in mountain landscapes subjected to spontaneous ash reforestation
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    Chapter 8 Land use scenarios: a communication tool with local communities
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    Chapter 9 Retrospective geomatic landscape modelling. A probabilistic approach
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    Chapter 10 Simulating greenhouse growth in urban zoning on the coast of Granada (Spain)
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    Chapter 11 Greenhouses, land use change, and predictive models: MaxEnt and Geomod working together
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    Chapter 12 Modelling intra-urban dynamics in the Savassi neighbourhood, Belo Horizonte city, Brazil
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    Chapter 13 Creation and evaluation of development scenarios for metropolitan patterns
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    Chapter 14 Towards a set of IPCC SRES urban land use scenarios: modelling urban land use in the Madrid region
Attention for Chapter 8: Land use scenarios: a communication tool with local communities
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Citations

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Chapter title
Land use scenarios: a communication tool with local communities
Chapter number 8
Book title
Modelling Environmental Dynamics
Published by
Springer, Berlin, Heidelberg, January 2008
DOI 10.1007/978-3-540-68498-5_8
Book ISBNs
978-3-54-068489-3, 978-3-54-068498-5
Authors

G Cuevas, J-F Mas

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Mexico 1 4%
Unknown 24 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 19%
Researcher 5 19%
Student > Postgraduate 3 12%
Student > Doctoral Student 2 8%
Librarian 2 8%
Other 6 23%
Unknown 3 12%
Readers by discipline Count As %
Environmental Science 9 35%
Earth and Planetary Sciences 4 15%
Agricultural and Biological Sciences 4 15%
Social Sciences 3 12%
Economics, Econometrics and Finance 1 4%
Other 1 4%
Unknown 4 15%