Spatial data integration and analysis with spatial intelligence
Bing She, Xinyan Zhu, Shuming Bao
Abstract
Bing She, Xinyan Zhu, Shuming Bao
Abstract
More and more researchers from different fields find it essential to combine GIS data to do survey data analysis and multi-disciplinary studies. Spatial intelligence allows efficient data integration for spatial and non-spatial data, quick and accurate location analysis and spatial assessment. In this paper, we present an updated version of China Geo-Explorer, a web based platform for spatial intelligence, which integrates multi-source spatial data and non-spatial data from various fields including demography, business and religion, etc. The platform interacts with users through many flexible spatial selection methods to generate time-saving, easy-to-use, and pre-formatted reports as well as customized reports, provides different kinds of observations points on fields like economy and hydrology for spatial selection and time-series data visualization, comparison and analysis, and creates dynamic theme map on demand. Finally we discuss two case studies on business intelligence and multi-disciplinary studies as applications of the platform.
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More and more researchers from different fields find it essential to combine GIS data to do survey data analysis and multi-disciplinary studies. Spatial intelligence allows efficient data integration for spatial and non-spatial data, quick and accurate location analysis and spatial assessment. In this paper, we present an updated version of China Geo-Explorer, a web based platform for spatial intelligence, which integrates multi-source spatial data and non-spatial data from various fields including demography, business and religion, etc. The platform interacts with users through many flexible spatial selection methods to generate time-saving, easy-to-use, and pre-formatted reports as well as customized reports, provides different kinds of observations points on fields like economy and hydrology for spatial selection and time-series data visualization, comparison and analysis, and creates dynamic theme map on demand. Finally we discuss two case studies on business intelligence and multi-disciplinary studies as applications of the platform.
Key concepts: Spatial analysis, Computer science, Business intelligence, Data visualization, Data science, Visualization, Field (mathematics), Data mining