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Urban Environment Quality in the Italian Spatial Data Infrastructure

Urban Environment Quality in the Italian Spatial Data Infrastructure
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Author(s): L. Congedo (Istituto Superiore per la Protezione e la Ricerca Ambientale, Italy), F. Baiocco (Istituto Superiore per la Protezione e la Ricerca Ambientale, Italy), S. Brini (Istituto Superiore per la Protezione e la Ricerca Ambientale, Italy), L. Liberti (Istituto Superiore per la Protezione e la Ricerca Ambientale, Italy)and M. Munafò (Istituto Superiore per la Protezione e la Ricerca Ambientale, Italy)
Copyright: 2013
Pages: 14
Source title: Geographic Information Analysis for Sustainable Development and Economic Planning: New Technologies
Source Author(s)/Editor(s): Giuseppe Borruso (University of Trieste, Italy), Stefania Bertazzon (University of Calgary, Canada), Andrea Favretto (University of Trieste, Italy), Beniamino Murgante (University of Basilicata, Italy)and Carmelo Maria Torre (Polytechnic of Bari, Italy)
DOI: 10.4018/978-1-4666-1924-1.ch012

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Abstract

Public access to environmental information is granted by international law. The European Community has established an Infrastructure for Spatial Information (INSPIRE) in order to provide data and information to effected environmental policies. ISPRA coordinates the Italian Environmental Information and Monitoring System (SINA) and represents the national Inspire coordination structure. Moreover, ISPRA disseminates environmental information through reports, on-line services, and WebGis. Recently, a new WebGis has been developed to provide public access to environmental indicators data contained in the annual report on urban environment quality. Soil, water and air quality, waste, industrial risk, transport and mobility, acoustic and electromagnetic pollution, nature and biodiversity, tourism, and energy were analysed in 34 urban areas. The WebGis provides simple and powerful tools to analyze environmental dynamics of urban areas promoting participatory planning. It was designed to easily access and select the indicators data and to represent their spatial and temporal distribution.

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