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Spatial Simulation Modeling Projecting by Polimeni John (3 results)
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Spatial Simulation Modeling | Projecting Residential Development in the Hudson River Valley of New York State
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659209848 ISBN 13: 9783659209840
Taschenbuch. Condition: Neu. Spatial Simulation Modeling | Projecting Residential Development in the Hudson River Valley of New York State | John M. Polimeni | Taschenbuch | 140 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659209840 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Spatial Simulation Modeling: Projecting Residential Development in the Hudson River Valley of New York State
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659209848 ISBN 13: 9783659209840
US$ 159.39
US$ 33.35 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Spatial Simulation Modeling : Projecting Residential Development in the Hudson River Valley of New York State
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659209848 ISBN 13: 9783659209840
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book projects residential development in Hudson River Valley watersheds within Dutchess County in New York State using an integrated modeling framework consisting of a novel spatial econometric model, a geographic information system (GIS), and Monte Carlo simulation. A spatial econometric model is used to project residential development at the tributary watershed level, sub-watershed level, and census block level. GIS is employed to extract socio-economic and county-level tax parcel data to be used in conjunction with bio-geophysical attributes, such as slope, soil, and location attributes, to calculate and project growth trends on a residential level for undeveloped land parcels. Monte Carlo simulation is used to distribute these projections into the GIS to display dynamic development scenarios using regional maps to help policy-makers in their decision-making processes. Detailed case studies, consisting of several related scenarios, are used to present stakeholders the economic, social, and environmental implications of a possible course of action.
