Modelling Environmental Dynamics Advances in Geomatic Solutions /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Paegelow, Martin (Επιμελητής έκδοσης), Olmedo, María Teresa Camacho (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Σειρά: Environmental Science and Engineering, Environmental Science,
• Θέματα: Environment.; Earth sciences.; Regional planning.; Urban planning.; Climate change.; Environmental management.; Geoecology.; Environmental geology.; Environmental Monitoring/Analysis.; Landscape/Regional and Urban Planning.; Earth Sciences, general.; Environmental Management.; Geoecology/Natural Processes.; Climate Change.

Modelling environmental dynamics is critical to understanding and predicting the evolution of the environment in response to the large number of influences including urbanisation, climate change and deforestation. Simulation and modelling provide support for decision making in environmental manageme...

Πίνακας περιεχομένων:

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