An equity-based and cell-based spatial object fusion method

The spatial object fusion problem occurred in geographic information system is also met in spatial data warehouses, and it plays an important role in the spatial data preprocessing. A novel, equity-based and cell-based spatial object fusion method in spatial data warehouses, which only uses locations of objects and few computes distance among objects, is proposed and its efficiency and effectiveness are measured in terms of Recall and Precision in this paper. Especially, this method is very suitable for the cases, whose targets can be abstracted into point objects, such as the study about representative plants, animals and landscapes living in special environment. Our work extends the research about this field.