m (Scipediacontent moved page Draft Content 176461316 to Hagen-Zanker Martens 2011a) |
|||
| Line 3: | Line 3: | ||
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. | 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. | ||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| Line 13: | Line 8: | ||
The different versions of the original document can be found in: | The different versions of the original document can be found in: | ||
| + | |||
| + | * [http://epubs.surrey.ac.uk/790287 http://epubs.surrey.ac.uk/790287] | ||
* [http://epubs.surrey.ac.uk/790287/1/HagenZanker_ICSSA_2008_Extended.pdf http://epubs.surrey.ac.uk/790287/1/HagenZanker_ICSSA_2008_Extended.pdf] | * [http://epubs.surrey.ac.uk/790287/1/HagenZanker_ICSSA_2008_Extended.pdf http://epubs.surrey.ac.uk/790287/1/HagenZanker_ICSSA_2008_Extended.pdf] | ||
| + | |||
| + | * [http://epubs.surrey.ac.uk/790287 http://epubs.surrey.ac.uk/790287], | ||
| + | : [https://link.springer.com/chapter/10.1007%2F978-3-642-19733-8_14 https://link.springer.com/chapter/10.1007%2F978-3-642-19733-8_14], | ||
| + | : [https://core.ac.uk/display/16517849 https://core.ac.uk/display/16517849], | ||
| + | : [https://www.scipedia.com/public/Hagen-Zanker_Martens_2011a https://www.scipedia.com/public/Hagen-Zanker_Martens_2011a], | ||
| + | : [https://academic.microsoft.com/#/detail/1554105709 https://academic.microsoft.com/#/detail/1554105709] | ||
| + | |||
| + | * [http://link.springer.com/content/pdf/10.1007/978-3-642-19733-8_14.pdf http://link.springer.com/content/pdf/10.1007/978-3-642-19733-8_14.pdf], | ||
| + | : [http://dx.doi.org/10.1007/978-3-642-19733-8_14 http://dx.doi.org/10.1007/978-3-642-19733-8_14] | ||
Latest revision as of 14:15, 21 January 2021
Abstract
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.
Original document
The different versions of the original document can be found in:
Document information
Published on 01/01/2011
Volume 2011, 2011
DOI: 10.1007/978-3-642-19733-8_14
Licence: CC BY-NC-SA license
Share this document
Keywords
claim authorship
Are you one of the authors of this document?