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Multi-scale qualitative location: A direction-based model
Highlights A direction-based model is proposed to represent qualitative locations at multiple scales. Approaches are developed to derive the direction changes between objects and regions at multiple scales. The methodologies are presented and used to evaluate location and relation consistencies in multi-scale spatial data. The direction-based model is more accurate than the topology-based model.
Abstract Qualitative locations describe the locations of spatial objects by relating them to a reference frame with qualitative relations. Existing models concerned with regional partitions are mainly topology-based and do not consider the effects of scale changes on locations. This study develops a direction-based multi-scale qualitative location (DMQL) model to fill this gap. First, a cell partition is defined by extending the borders of the minimum bounding rectangles of the regions in a regional partition. Relating spatial objects to all regions by a set of directions is equal to representing the objects as a set of cells in a cell partition. Second, due to the multiple cell representations of spatial objects and the changes in direction relations across scales, some approaches are presented to derive the direction changes between regions in different frames, between spatial objects and regions, and between spatial objects at different scales. Third, the location and relation consistencies of qualitative locations are evaluated based on the cell representations of spatial objects at multiple scales through a case study. The results indicate that the DMQL model can locate objects more precisely than the topology-based models.
Multi-scale qualitative location: A direction-based model
Highlights A direction-based model is proposed to represent qualitative locations at multiple scales. Approaches are developed to derive the direction changes between objects and regions at multiple scales. The methodologies are presented and used to evaluate location and relation consistencies in multi-scale spatial data. The direction-based model is more accurate than the topology-based model.
Abstract Qualitative locations describe the locations of spatial objects by relating them to a reference frame with qualitative relations. Existing models concerned with regional partitions are mainly topology-based and do not consider the effects of scale changes on locations. This study develops a direction-based multi-scale qualitative location (DMQL) model to fill this gap. First, a cell partition is defined by extending the borders of the minimum bounding rectangles of the regions in a regional partition. Relating spatial objects to all regions by a set of directions is equal to representing the objects as a set of cells in a cell partition. Second, due to the multiple cell representations of spatial objects and the changes in direction relations across scales, some approaches are presented to derive the direction changes between regions in different frames, between spatial objects and regions, and between spatial objects at different scales. Third, the location and relation consistencies of qualitative locations are evaluated based on the cell representations of spatial objects at multiple scales through a case study. The results indicate that the DMQL model can locate objects more precisely than the topology-based models.
Multi-scale qualitative location: A direction-based model
Du, Shihong (author) / Feng, Chen-Chieh (author) / Wang, Qiao (author)
Computers, Environments and Urban Systems ; 41 ; 151-166
2013-05-28
16 pages
Article (Journal)
Electronic Resource
English
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