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A Novel Entity Adjusting Method for Spatial Data Conflation

An entity adjusting method based on multiple evaluation factors is proposed. Three evaluation factors are considered and the identification of same point pairs on different entities is discussed. A weighted average algorithm is then used to adjust the entity. Experiments are performed with sea and terrestrial maps on line and area entities. The results are compared with the direct adjusting algorithm, which show the validity and improvement of the proposed method.