Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659209848 ISBN 13: 9783659209840
Da: preigu, Osnabrück, Germania
EUR 51,00
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659209848 ISBN 13: 9783659209840
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 138,31
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659209848 ISBN 13: 9783659209840
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 59,00
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.