Analysis of scale dependencies in an urban land‐use‐change model

Jantz, Claire A.; Goetz, Scott J.

doi:10.1080/13658810410001713425

Cited by 134 publications

(83 citation statements)

References 20 publications

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“…Also exciting recent developments towards rigorous sensitivity analysis of large numbers of simulations (Jantz andGoetz 2005, Kocabas andDragicevic 2006) can gain in scope and relevance if these recommendations are followed.…”

Section: Discussionmentioning

confidence: 99%

A Framework of Map Comparison Methods to Evaluate Geosimulation Models from a Geospatial Perspective

Hagen‐Zanker

Martens

2011

Geocomputation, Sustainability and Environmental Planning

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Geosimulation is a form of microsimulation that seeks to understand geographical patterns and dynamics as the outcome of micro level geographical processes. Geosimulation has been applied to understand such diverse systems as lake ecology, traffic congestion and urban growth. A crucial task common to these applications is to express the agreement between model and reality and hence the confidence one can have in the model results. Such evaluation requires a geospatial perspective; it is not sufficient if the micro-level interactions are realistic. Importantly the interactions should be such that the meso and macro level patterns that emerge from the model are realistic. In recent years, a host of map comparison methods have been developed that address different aspects of the agreement between model and reality. This paper places such methods in a framework to systematically assess the breadth and width of model performance. The framework expresses agreement at the continuum of spatial scales ranging from local to the whole landscape and separately addresses agreement in structure and presence. A common reference level makes different performance metrics mutually comparable and guides the interpretation of results. The framework is applied for the evaluation of a constrained cellular automata model of the Netherlands. The case demonstrates that a performance assessment lacking either a multi-criteria and multi-scale perspective or a reference level would result in an unbalanced account and ultimately false conclusions.

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Section: Discussionmentioning

confidence: 99%

A Framework of Map Comparison Methods to Evaluate Geosimulation Models from a Geospatial Perspective

Hagen‐Zanker

Martens

2011

Geocomputation, Sustainability and Environmental Planning

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“…For instance, Chen and Mynett (2003) investigated the effects of cell size and neighbourhood configuration in a prey-predator CA model and observed that they affected both the resulting spatial patterns and the system stability [22]. Jantz and Goetz (2005) examined the results of the SLEUTH model in response to different cell sizes and indicated that the cell size at which the land use data was represented could influence the quantification of land use patterns and descriptive power of the model [23]. Therefore, although the grid-based CA model has proven to be an efficient method to simulate dynamic spatial processes, it is necessary to improve the traditional raster-based method via novel techniques.…”

Section: Literature Reviewmentioning

confidence: 99%

Simulating Block-Level Urban Expansion for National Wide Cities

Long

2017

Sustainability

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Abstract:Large-scale models are generally associated with large spatial modelling units, for example, counties or super grids (several to dozens of km 2 ). Few applied urban models can achieve a large spatial coverage with irregular spatial units due to data availability and computation load. The framework of automatic identification and characterization of blocks developed by Liu and Long (2016) makes such an ideal model possible by establishing the existing urban blocks using road networks and points of interest for very large areas (e.g., a country or a continent). In this study, we develop a mega-vector-blocks cellular automata model (MVB-CA) to simulate urban expansion at the block level for 654 Chinese cities. The existing urban blocks in 2012 were used for initiating the MVB-CA and are generated using multi-levelled road networks and ubiquitous points of interest. We then simulate block-based urban expansion of all the cities from 2012 to 2017. The national spatial development strategies of China are discussed extensively by academia and policy makers, while the baseline scenario and other simulated urban expansion scenarios have been tested and compared horizontally. As one of the first block-based urban expansion models at a national scale, its academic contributions, practical applications, and potential biases are also discussed in this paper. The developed MVB-CA using general approaches is also applicable for other counties.

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“…This kind of neighborhood is homogeneous; that is, the distribution, size and shape of cellular neighborhoods are the same [6]. Cellular automata have drawn more and more attention from multiple fields with further research [7][8][9][10][11], which contributes to the extension of the definition of neighborhoods [12,13]. The distribution of neighborhoods extended to 5 × 5 or 7 × 7 windows [14].…”

Section: Open Accessmentioning

confidence: 99%

The Improved Cellular Automata and Its Application in Delineation of Urban Spheres of Influence

Deng

2014

Sustainability

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Abstract:The issue of spatial diffusion and pattern division of traditional cellular automata (CA) has drawn widespread attention and generated extensive work by scholars. However, there are many deficiencies in traditional configurations of CA neighborhoods, which reduce simulation accuracy. The effect of improved methods of traditional configurations of CA neighborhoods is not obvious, and its interoperability is not strong. Therefore, this paper firstly puts forward the concept of the circular neighborhood of CA constrained by the space metric method based on map algebra, and compares the spatial division pattern and anisotropy of different types of neighborhoods in detail. Then, the CA's weighted diffusion model is discussed to delineate urban spheres of influence in Henan Province. Finally, Weibo data is used to justify a reasonable delineation of urban spheres of influence and can correctly reflect the state of regional development, further proving that improved cellular automata in algorithms and applications have great significance.

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Analysis of scale dependencies in an urban land‐use‐change model

Cited by 134 publications

References 20 publications

A Framework of Map Comparison Methods to Evaluate Geosimulation Models from a Geospatial Perspective

A Framework of Map Comparison Methods to Evaluate Geosimulation Models from a Geospatial Perspective

Simulating Block-Level Urban Expansion for National Wide Cities

The Improved Cellular Automata and Its Application in Delineation of Urban Spheres of Influence

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