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Spatial Simulation Modeling: Projecting Residential Development in the Hudson River Valley of New York State - Couverture souple

Polimeni, John M.

 
9783659209840: Spatial Simulation Modeling: Projecting Residential Development in the Hudson River Valley of New York State
Couverture souple
ISBN 10 : 3659209848 ISBN 13 : 9783659209840
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

John M. Polimeni is an Associate Professor of Economics at the Albany College of Pharmacy and Health Sciences. He has a PhD in Ecological Economics, a MA in Economics, and a BS in Mathematics. He has been a Senior Fulbright Fellow, published more than 40 articles and 2 books. His research interests are in economic development and sustainability.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3659209848
ISBN 13 
9783659209840
Reliure
Broché
Nombre de pages
140
Coordonnées du fabricant
non disponible
Personne responsable
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