Spatial grid based Open Government Data mining

Abstract

Then Open Government Data movement increases in recent years. The data has become an important part of Big Data. Data generated by different government agencies have different time and space coverages and are often focusing on various aspect of cities. These data could be co-registered in a unified spatial reference system for correlated analysis. This paper proposes a spatial grid based approach to manage government data and mine hidden information from it. The data is co-registered into spatial grids. Such data organization can facilitate the usage of array database technologies, which further introduce high performance in-database computing for data analysis. The open government data from Wuhan, China is used as a case to illustrate the applicability of the approach.