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portada Spatial Analysis for Complex Territorial Systems. Geo-information Technologies and European Official Statistics
Type
Physical Book
Collection
Earth Observation
Year
2026
Pages
365
Format
Paperback
Dimensions
22.90 x 15.20 cm
ISBN13
9780443441332

Spatial Analysis for Complex Territorial Systems. Geo-information Technologies and European Official Statistics

Luca Salvati (Author) · Elsevier - Health Sciences Division · Paperback

Spatial Analysis for Complex Territorial Systems. Geo-information Technologies and European Official Statistics - Luca Salvati

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Synopsis "Spatial Analysis for Complex Territorial Systems. Geo-information Technologies and European Official Statistics"

Spatial Analysis for Complex Territorial Systems: Geo-information Technologies and European Official Statistics offers a multidisciplinary exploration of spatial analysis, geo-information technologies, and official statistics, focusing on their applications in environmental, economic, and planning challenges in Europe and the Mediterranean. Comprising 16 insightful chapters authored by leading scholars from Southern and Eastern Europe, Ireland, and the United States, the book delves into the complexities of socio-ecological monitoring through data integration and refined statistical indicators. Key topics include climate monitoring, land degradation, settlement patterns, and disaster resilience, providing a comprehensive understanding of local contexts and policy implications. The book begins with contributions from a traditional ecological, agronomic, and environmental vision, then continues with a set of studies with stricter socio-demographic and economic focus. It then discusses how other quantitative approaches (e.g., based on big data and primary surveys) may clarify the role of policies and planning, addressing sustainable development goals in the ‘kaleidoscopic’ European landscapes. Conclusions confirm the urgent need of integrating the vast potential of geo-information techniques, together with spatial analysis and official statistics, into more flexible sustainable development strategies that reflect local conditions and spatially explicit background contexts.

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