Thematic Data Index Construction Based on Urban Data

Abstract

The paper is focused on these thematic data index construction, and puts forward a kind of category data indexes for rapid queries for urbanization thematic data index. The corresponding metadata tables could be constructed as non-spatial data are stored in the binary format. This aim is to classify the data by the metadata information and to establish the classified index respectively for the attribute data. The experiments confirmed that the proposed the category index can create urban thematic data index, and can quickly query attribute data needed.