Automatic Interpretation of Vector Databases with a Raster-based Algorithm
نویسنده
چکیده
Clustering spatial data can be interpreted as a segmentation or classification process for finding meaningful patterns in geospatial databases. Such patterns can be used to adapt further algorithms to the individual characteristics of the detected classes or clusters. For example, cartographic generalisation works differently in urban and in rural areas. If this kind of information is not explicitly stored in the database, it can be derived automatically with map interpretation. In this paper it will be discussed, how this interpretation can be done automatically by a computer.
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