Difference between revisions of "Using FUTURES in GRASS for Modelling Urban Growth"
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== Introduction == |
== Introduction == |
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| + | === Purpose === |
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| − | The aim of this tutorial is to demonstrate the use of FUTURES (Future Urban-Regional Environment Simulation) for urban spatial growth analysis. While most urban growth models are focused on cell-level conversions and object-based representation, FUTURES uses patch-based, stochastic, multi-level land change modelling framework to provide land development models. |
+ | The aim of this tutorial is to demonstrate the use of FUTURES (Future Urban-Regional Environment Simulation) for urban spatial growth analysis. While most urban growth models are focused on cell-level conversions and object-based representation, FUTURES uses patch-based, stochastic, multi-level land change modelling framework to provide urban-rural land development models. FUTURES is an open source urban growth model that is designed to address regional-scale ecological and environmental impacts of urbanization and captures the spatial structure of development. This is done through regional projections of landscape patterns and then FUTURES creates submodels that integrate nonstationary drivers of land change. In this tutorial, the submodel that will be used is site suitability (POTENTIAL submodel). |
| − | Using FUTURES to compute distance between Ottawa’s new transit system and Ottawa’s Business Improvement Areas (BIA) using the R command line. People want to be able to access the BIA and FUTURES can help to see if the new transit system is an accessible pathway to the BIA. FUTURES can be used to find locations where there are gaps between these two systems in order to place connections within Ottawa. Places where they lack connection, using FUTURES to find locations with development potential. |
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| + | The POTENTIAL submodel uses a set of coefficients that relate a selection of site suitability factors to the probability of a place becoming developed. The model does this through multilevel logistic regression through a hierarchy of characteristics based on land use systems and the divergent relationships between predictor and response variables to obtain the coefficients. |
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Revision as of 09:12, 19 December 2021
Using FUTURES in GRASS for Modelling Urban Growth
Introduction
Purpose
The aim of this tutorial is to demonstrate the use of FUTURES (Future Urban-Regional Environment Simulation) for urban spatial growth analysis. While most urban growth models are focused on cell-level conversions and object-based representation, FUTURES uses patch-based, stochastic, multi-level land change modelling framework to provide urban-rural land development models. FUTURES is an open source urban growth model that is designed to address regional-scale ecological and environmental impacts of urbanization and captures the spatial structure of development. This is done through regional projections of landscape patterns and then FUTURES creates submodels that integrate nonstationary drivers of land change. In this tutorial, the submodel that will be used is site suitability (POTENTIAL submodel). The POTENTIAL submodel uses a set of coefficients that relate a selection of site suitability factors to the probability of a place becoming developed. The model does this through multilevel logistic regression through a hierarchy of characteristics based on land use systems and the divergent relationships between predictor and response variables to obtain the coefficients.
