A model of watershed land-use planning is formulated that improves on existing models by recognizing that land-use decisions have uncertain outcomes and that land uses change over time. Implications of recognizing the distinction between land-use decisions and their uncertain outcomes are discussed. The land-use changes are modelled using a Markov process. Because of the computational difficulties in determining the return associated with the complete range of possible decision sets, a heuristic technique is required. A heuristic search procedure based on stochastic dynamic programming is described.
In this paper stochastic dynamic programming is used to investigate land conversion decisions taken ...
Most of the economic literature that uses spatially-explicit data to estimate the determinants of la...
In this paper stochastic dynamic programming is used to investigate habitat conservation by a multit...
Watershed ecosystems consist of numerous resources which have important environmental, social, cultu...
185 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1979.U of I OnlyRestricted to the ...
Scientists have generated a massive body of theory aimed at predicting and managing the impacts of a...
Uncertainty and variability of climate changes are key challenges for adaptation planning. In the fa...
Most planning support tools for location decisions do not take uncertainty about the future distribu...
This research develops an interactive algorithm for solving a class of multi-objective decision prob...
Land use change is a central issue in the sustainability debate, because of its impacts on e.g. clim...
100 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2004.In this study, we use a discr...
In this paper stochastic dynamic programming is used to investigate land conversion decisions taken ...
In this study, an inexact stochastic fuzzy programming (ISFP) model is proposed for land-use allocat...
In environmental and natural resource planning domains actions are taken at a large number of locati...
In this paper stochastic dynamic programming is used to investigate habitat conservation by a multit...
In this paper stochastic dynamic programming is used to investigate land conversion decisions taken ...
Most of the economic literature that uses spatially-explicit data to estimate the determinants of la...
In this paper stochastic dynamic programming is used to investigate habitat conservation by a multit...
Watershed ecosystems consist of numerous resources which have important environmental, social, cultu...
185 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1979.U of I OnlyRestricted to the ...
Scientists have generated a massive body of theory aimed at predicting and managing the impacts of a...
Uncertainty and variability of climate changes are key challenges for adaptation planning. In the fa...
Most planning support tools for location decisions do not take uncertainty about the future distribu...
This research develops an interactive algorithm for solving a class of multi-objective decision prob...
Land use change is a central issue in the sustainability debate, because of its impacts on e.g. clim...
100 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2004.In this study, we use a discr...
In this paper stochastic dynamic programming is used to investigate land conversion decisions taken ...
In this study, an inexact stochastic fuzzy programming (ISFP) model is proposed for land-use allocat...
In environmental and natural resource planning domains actions are taken at a large number of locati...
In this paper stochastic dynamic programming is used to investigate habitat conservation by a multit...
In this paper stochastic dynamic programming is used to investigate land conversion decisions taken ...
Most of the economic literature that uses spatially-explicit data to estimate the determinants of la...
In this paper stochastic dynamic programming is used to investigate habitat conservation by a multit...