Characterization of neighborhood sensitivity of an irregular cellular automata model of urban growth

Dahal, Khila R.; Chow, Theodore

doi:10.1080/13658816.2014.987779

Cited by 75 publications

(39 citation statements)

References 43 publications

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“…An alternative method would be to calculate the neighbourhood effect using a weighted system which considers the area of each parcel covered by the neighbourhood buffer. The inclusion of barriers such as roads, as proposed by Dahal and Chow (2015), could also be useful to simulate urban change dynamics more realistically. Different neighbourhood definitions, such as using people's perception of neighbourhood (defining parcels along the same road as neighbours rather than ones backing onto a parcel), could also be explored.…”

Section: Discussionmentioning

confidence: 99%

“…Nevertheless, the fact that cities consist of irregular blocks or features rather than regular cells is often highlighted in the literature (e.g. O'Sullivan, 2001b;Dahal and Chow, 2015) and there have been successful attempts to employ irregular space representation in CA-based models (e.g. Hu and Li, 2004;Moreno et al, 2008;Dahal and Chow, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…The first problem has recently been explored using several approaches Moreno et al, 2008;Baetens and de Baets, 2012;Dahal and Chow, 2015). In the case of CA-based models that employ regular grids, the definition of neighbourhood is very straightforward.…”

Section: Introductionmentioning

confidence: 99%

“…have proposed three alternative solutions to this problem, defining the neighbours of each parcel as: a) adjacent parcels only, b) those parcels that are totally or partially covered by a distance buffer, or c) the area within a buffer. Dahal and Chow (2015) proposed another neighbourhood definition based on topological relations, proximity and intercepted buffers, and the extended neighbourhood, in which the entire study area is considered the neighbourhood of every single parcel. Figure 1 shows some examples of neighbourhood definition in irregular spaces: adjacent parcels, neighbourhood calculated by means of a distance buffer from the centroid of the studied parcel whereby parcels falling totally or partially inside the buffer are considered neighbours, neighbourhood calculated according to a buffer from the parcel boundary and another neighbourhood based solely on parcels totally covered by the buffer.…”

Section: Introductionmentioning

confidence: 99%

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Configuring the neighbourhood effect in irregular cellular automata based models

González

Barros

2016

International Journal of Geographical Information Science

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Abstract:Cellular automata (CA) models have been widely employed to simulate urban growth and land use change. In order to represent urban space more realistically, new approaches to CA models have explored the use of vector data instead of traditional regular grids. However, the use of irregular CA-based models brings new challenges as well as opportunities. The most strongly affected factor when using an irregular space is neighbourhood. Although neighbourhood definition in an irregular environment has been reported in the literature, the question of how to model the neighbourhood effect remains largely unexplored.In order to shed light on this question, this paper proposed the use of spatial metrics to characterise and measure the neighbourhood effect in irregular CA-based models. These metrics, originally developed for raster environments, namely the enrichment factor and the neighbourhood index, were adapted and applied in the irregular space employed by the model. Using the results of these metrics, distance-decay functions were calculated to reproduce the push-and-pull effect between the simulated land uses. The outcomes of a total of 55 simulations (five sets of different distance functions and eleven different neighbourhood definition distances) were compared with observed changes in the study area during the calibration period. Our results demonstrate that the proposed methodology improves the outcomes of the urban growth simulation model tested and could be applied to other irregular CA-based models.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Configuring the neighbourhood effect in irregular cellular automata based models

González

Barros

2016

International Journal of Geographical Information Science

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“…In recent study various neighbourhood sizes used for LULC modelling, However, no particular validation about what is an appropriate neighbourhood size are specified (Dahal & Chow 2015). This research tries to analyse the model responses and behaviours with respect to the changes of neighbourhood sizes and types.…”

Section: Spatial Filter Issue In Land-use Modellingmentioning

confidence: 99%

Impact of Spatial Filter on Land-Use Changes Modelling Using Urban Cellular Automata

Omidipoor¹,

Samani²

2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Urban cellular automata is used vastly in simulating of urban evolutions and dynamics. Finding an appropriate neighbourhood size in urban cellular automata modelling is important because the outputs are strongly influenced by input parameters. This paper investigates the impact of spatial filters on behaviour and outcome of urban cellular automata models. In this study different spatial filters in various sizes including 3*3, 5*5, 7*7, 9*9, 11*11, 13*13, 15*15 and 17*17 cells are used in a scenario of land-use changes. The proposed method is examined changes in size and shape of spatial filter whereas the resolution was kept fixed. The implementation results in Ahvaz city demonstrated that KAPPA index is changed in different shapes and types at the time when different spatial filters are used. However, circular shape with size of 5*5 offers better accuracy.

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A Framework to Probe Uncertainties in Urban Cellular Automata Modelling Using a Novel Framework of Multilevel Density Approach: A Case Study for Wallonia Region, Belgium

Chakraborty

Mustafà

Omrani

et al. 2023

Intelligence for Future Cities

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Urban expansion models are widely used to understand, analyze and predict any peculiar scenario based on input probabilities. Modelling and uncertainty are concomitant, and can occur due to reasons ranging from-discrepancies in input variables, unpredictable model parameters, spatio-temporal variability between observations, or malfunction in linking model variables under two different spatiotemporal scenarios. However, uncertainties often occur because of the interplay of model elements, structures, and the quality of data sources employed; as input parameters influence the behavior of cellular automaton (CA) models. Our study aims to address these uncertainties. While most studies consider neighborhood effects, timestep and spatial resolution, our study uniquely focuses on the susceptibility of multi density classes and varying cell size on uncertainty. Hence this chapter offers a theoretical elucidation of the concepts, sources, and strategies for managing uncertainty under various criteria as well as an algorithm for enumerating the model's accuracy for Wallonia, Belgium.

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Characterization of neighborhood sensitivity of an irregular cellular automata model of urban growth

Cited by 75 publications

References 43 publications

Configuring the neighbourhood effect in irregular cellular automata based models

Configuring the neighbourhood effect in irregular cellular automata based models

Impact of Spatial Filter on Land-Use Changes Modelling Using Urban Cellular Automata

A Framework to Probe Uncertainties in Urban Cellular Automata Modelling Using a Novel Framework of Multilevel Density Approach: A Case Study for Wallonia Region, Belgium

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