Measuring full and partial geometrical similarity of map objects

Abstract EN

Geographic Information System (GIS) are usually classified into raster, vector, and raster–vector systems.

The research deals with proposing new algorithm called GIS-Span to measure the partial and full geometrical similarity between map objects.

The algorithm is used for clustering the vector features of GIS.

The vector data are usually stored in data files called shape files.

These files contains the (point, lines, polygons, ..., etc).

The extracted data is then stored in a dataset to be processed by the proposed algorithm to discover the full and partial similarities among map objects to assist the clustering and analysis of map data.

It deals with clustering the polylines and polygonal data according to their geometrical similarity.