THE STUDY FOR MATCHING ALGORITHMS AND MATCHING TACTICS ABOUT AREA VECTOR DATA BASED ON SPATIAL DIRECTIONAL SIMILARITY

摘要

The matching technique is the key to geospatial data integration and fusion. In this paper, we describe spatial directional relation through direction relational matrix, and discuss calculation methods of the spatial directional similarity. Combining with the area vector data matching algorithms, we introduce some matching tactics, which contribute to accomplish many-to-one, many-to-many matching. We describe matching process based on spatial directional similarity and matching tactics. Then we take a test, using building property area data and town planning area data at a scale of 1: 500. In the test, we take the spatial directional relation matrix algorithm, and adopt two-steps matching tactics. Based on the test, we draw a conclusion: matching efficiency depends on not only algorithms, but also tactics. Proper tactics can help us accomplish more complex task.