Artificial neural network for multifunctional areas

Autor: Francesco Riccioli, Claudio Fagarazzi, Toufic El Asmar, Jean-Pierre El Asmar, Leonardo Casini
Rok vydání: 2015
Předmět:
Artificial neural network
Conservation of Natural Resources
GIS
Land use change
Territorial planning
Management
Monitoring
Policy and Law
Geographic information system
010504 meteorology & atmospheric sciences
0211 other engineering and technologies
Context (language use)
02 engineering and technology
Environment
Management
Monitoring
Policy and Law
01 natural sciences
Environmental protection
Urban planning
Urbanization
Environmental monitoring
Humans
Land use
land-use change and forestry
Environmental planning
021101 geological & geomatics engineering
0105 earth and related environmental sciences
General Environmental Science
Land use
business.industry
General Medicine
Pollution
Geography
Italy
Work (electrical)
Geographic Information Systems
Neural Networks
Computer
business
Environmental Monitoring
Zdroj: Environmental Monitoring and Assessment. 188
ISSN: 1573-2959
0167-6369
DOI: 10.1007/s10661-015-5072-7
Popis: The issues related to the appropriate planning of the territory are particularly pronounced in highly inhabited areas (urban areas), where in addition to protecting the environment, it is important to consider an anthropogenic (urban) development placed in the context of sustainable growth. This work aims at mathematically simulating the changes in the land use, by implementing an artificial neural network (ANN) model. More specifically, it will analyze how the increase of urban areas will develop and whether this development would impact on areas with particular socioeconomic and environmental value, defined as multifunctional areas. The simulation is applied to the Chianti Area, located in the province of Florence, in Italy. Chianti is an area with a unique landscape, and its territorial planning requires a careful examination of the territory in which it is inserted.
Databáze: OpenAIRE
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