Data analysis using GIS and data mining. Fang-Yie LEU, Tai-Hsiang WANG
- Fang-Yie Leu. Tunghai University, TAÏCHUNG, Taiwan (R.O.C.)
- Tai-Shiang WANG. Tunghai University, TAÏCHUNG, Taiwan (R.O.C.)
Abstract
Recently, many commercial Geographical Information Systems (GISs) have been developed. Their functions are quickly growing up. Researchers and policymakers can input environmental data to a GIS system to gain spatial analysis result which can show up how data are geographically dispersed. Besides, the data mining and data warehouse technologies can automatically mine hidden knowledge and analyze/extract knowledge from raw data, respectively. If we can put them in use with GIS, the hidden meanings or rules embedded in the environmental data can be then more deeply and precisely uncovered. In this paper, we will discuss how to use the two data analytical tools, GIS and data mining, to analyze the data collected for the Situn district so that researchers can realize some facts that can not be superficially obtained from raw data.
Cite this article
LEU F.-Y., WANG T.-H., 2007. Data analysis using GIS and data mining. In International Conference of Territorial Intelligence, Alba Iulia 2006. Vol.1, Papers on region, identity and sustainable development, Aeternitas, Alba Iulia, 2007, p. 231-237. <URL: http://www.territorial-intelligence.eu/index.php/alba06/Leu>
