Abstract
In geo-spatial related data analysis, an important task of geo-data analysts is to quickly find the things that they are interested from their data, such as spatial-temporal patterns, spatial clusters, co-location patterns, and spatial hotspots etc. Currently, most of the geo data analytic tools are exploratory based and lack of facilities that can help analysts to define what they are looking for and quickly find them from data. In this paper, we proposed a region profile based geo-spatial data analytic solution that tackles exactly the issue. The proposed solution captures analysts’ interests in so called region profiles and then uses those region profiles to quickly locate the data that satisfy those interests either manually or automatically. Through the proposed solution, analysts can easily find what they are looking for in their data. They also can validate their results in a collaborative analytic environment and share and reproduce analytic results across a group of analysts.
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Du, X., Cui, Z. (2016). Region Profile Based Geo-Spatial Analytic Search. In: Cellary, W., Mokbel, M., Wang, J., Wang, H., Zhou, R., Zhang, Y. (eds) Web Information Systems Engineering – WISE 2016. WISE 2016. Lecture Notes in Computer Science(), vol 10042. Springer, Cham. https://doi.org/10.1007/978-3-319-48743-4_29
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DOI: https://doi.org/10.1007/978-3-319-48743-4_29
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