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Complexity and performance of urban expansion models

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TLDR
The results show that a hybrid model structure, integrating (static) determining factors (distance to the main roads, distance to the largest cities, employment potential, slope and zoning status of the land) and (dynamic) neighbourhood interactions produces the most accurate probability map.
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This article is published in Computers, Environment and Urban Systems.The article was published on 2010-01-01. It has received 189 citations till now. The article focuses on the topics: Urban planning & Logistic regression.

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Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion

TL;DR: A hybrid model consisting of logistic regression model, Markov chain (MC), and cellular automata (CA) was designed to improve the performance of the standard logistic regressors of Tehran, Iran to create a probability surface of spatiotemporal states of built-up land use for the years 2006, 2016, and 2026.
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Urban growth of Kampala, Uganda: Pattern analysis and scenario development

TL;DR: In this paper, a spatially-explicit logistic regression model was developed for Kampala to predict future urban sprawl patterns with a significant impact on the local quality of life.
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Urban land-use change: the role of strategic spatial planning

TL;DR: In this paper, the authors focus on the role of spatial planning in urban land change and propose a research agenda to further develop the understanding of these three components and their interconnections as well as their application in quantitative land-change modelling approaches for urban regions.
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Urban Growth Prediction: A Review of Computational Models and Human Perceptions

TL;DR: In this paper, a survey of developers and users of urban growth prediction models was conducted to assess developer and user perceptions and critically discuss existing urban growth forecasting models, acting as a reference for future model development.
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Spatio-temporal modelling of informal settlement development in Sancaktepe district, Istanbul, Turkey

TL;DR: In this paper, the authors explored the possibilities offered by progress in Geo-Information Science and spatial modelling to improve understanding of informal settlement development through comprehensive spatio-temporal analyses.
References
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Journal ArticleDOI

An introduction to ROC analysis

TL;DR: The purpose of this article is to serve as an introduction to ROC graphs and as a guide for using them in research.
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A Self-Modifying Cellular Automaton Model of Historical Urbanization in the San Francisco Bay Area

TL;DR: A cellular automaton simulation model developed to predict urban growth as part of a project for estimating the regional and broader impact of urbanization on the San Francisco Bay area's climate is described.
Journal ArticleDOI

Landscape change and the urbanization process in Europe

TL;DR: In this paper, the authors propose a new concept of functional urban regions (FURs) for landscape ecologists to understand the change of traditional European cultural landscapes, which are highly dynamic, complex and multifunctional.
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Modeling the Spatial Dynamics of Regional Land Use: The CLUE-S Model

TL;DR: A dynamic, spatially explicit, land-use change model is presented for the regional scale: CLUE-S that explicitly addresses the hierarchical organization of land use systems, spatial connectivity between locations and stability.
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