Sustainable environments: ecological, economic, sociocultural and statistical aspects invited papers

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Material type: Text

TextLanguage: English Publication details: Kolkata ISI 2004Description: xii,214pSubject(s):

DDC classification:

333.7 In61

Summary: This volume comprises eight selected contributions on the important environmental issues by renowned subject experts. The papers deal with environmental data base, basic concepts, ecological and social issues and their interrelationships, mostly in the indian context. The major environmental theme areas discussed in the Workshop were: Environmental databases, Environmental modeling, Environment and Sustainability, Global Environmental change, Pollution and Environment and Society. The thrust was on statistical models, methods and innovative computational and inferential tools for design, collection, analysis, and monitoring of environmental data.

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Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Books	ISI Library, Kolkata	333.7 In61 (Browse shelf(Opens below))	Available		C25536
Books	ISI Library, Kolkata	333.7 In61 (Browse shelf(Opens below))	Available		C25537

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Previous	333.7 H972 Principles of environmental economics	333.7 H972 Principles of environmental economics	333.7 In39 Readings in land utilisation	333.7 In61 Sustainable environments: ecological, economic, sociocultural and statistical aspects	333.7 In61 Sustainable environments: ecological, economic, sociocultural and statistical aspects	333.7 In61(21) Proceedings of symposium on land use in developing countries	333.7 J27 Application of economic techniques in environmental impact assessment	Next

This volume comprises eight selected contributions on the important environmental issues by renowned subject experts. The papers deal with environmental data base, basic concepts, ecological and social issues and their interrelationships, mostly in the indian context. The major environmental theme areas discussed in the Workshop were: Environmental databases, Environmental modeling, Environment and Sustainability, Global Environmental change, Pollution and Environment and Society. The thrust was on statistical models, methods and innovative computational and inferential tools for design, collection, analysis, and monitoring of environmental data.

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