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.
... (fi) showed that the expected number of steps SN for N lattice sites to reach consensus each starting in a unique state is given by 3N z (l/;-r)N2 In N for large N (see also Scheucher and Spohn, 1988, Durrett and Levin, M, W, M).
Researchers and professionals who require a non-specialist introduction will also find this book an invaluable guide to dynamic spatial simulation.
It is in this kind of framework that this book is situated, beginning with agent-based modeling of spatialized phenomena with a methodological and practical orientation.
... H. Mwambi, J. Githure, A. Toure, and F. E. McKenzie. Malaria Journal, 3(1):29, 2004. 149. D. Dery, C. Brown, K. Asante, M. Adams, D. Dosoo, S. Amenga-Etego, M. Wilson, D. Chandramohan, B. Greenwood, and S. Owusu-Agyei.
App.app.command("set number-of-turtles 100"); 2 App.app.command("setup"); In this simulation, we need to be able to retrieve the values of the variables stored in Java. This will allow us to explore the model, either by means of ...
The books in this series will promote this revolution in “systems thinking” by integrating computational skills of numeracy and techniques of dynamic mod- ing into a variety of disciplines.
The measures developed in the section are: • Pearson's correlation (r), a formula to quantify the linear correlation between the observed and final counts in each of the categories for every zone. • Total absolute error (TAE), ...
It is in this kind of framework that this book is situated, beginning with agent-based modeling of spatialized phenomena with a methodological and practical orientation.
Using spatial ABMs, the book includes mosquito (vector) control interventions and GIS as two example applications of ABMs, as well as a brief description of epidemiology modeling.
A guide for geographic analysts, modelers, software engineers, and GIS professionals, this book discusses agent-based modeling, dynamic feedback and simulation modeling, as well as links between models and GIS software....