Spatial process and data models: Toward integration of agent-based models and GIS
نویسندگان
چکیده
منابع مشابه
Spatial process and data models: Toward integration of agent-based models and GIS
The use of object-orientation for both spatial data and spatial process models facilitates their integration, which can allow exploration and explanation of spatial-temporal phenomena. In order to better understand how tight coupling might proceed and to evaluate the possible functional and efficiency gains from such a tight coupling, we identify four key relationships affecting how geographic ...
متن کاملSpatial Process and Data Models: Toward Integration of Agent-Based Models and GIS Running Title: Integrating Agent-Based Models and GIS
The use of object-orientation for both spatial data and spatial process models facilitates their integration, which can allow exploration and explanation of spatial-temporal phenomena. In order to better understand how tight coupling might proceed and to evaluate the possible functional and efficiency gains from such a tight coupling, we identify four key relationships affecting how geographic ...
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Probabilistic properties of Cox processes of relevance for statistical modeling and inference are studied. Particularly, we study the most important classes of Cox processes, including log Gaussian Cox processes, shot noise Cox processes, and permanent Cox processes. We consider moment properties and point process operations such as thinning, displacements, and superpositioning. We also discuss...
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ژورنال
عنوان ژورنال: Journal of Geographical Systems
سال: 2005
ISSN: 1435-5930,1435-5949
DOI: 10.1007/s10109-005-0148-5