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Discovery of Temporal Variation of Arsenic in a Historical Blackfoot Disease Territory by Time Series Analysis
2009
2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery
Time series analysis is useful tool for extracting interesting pattern from ordered sequence of observations. The Chianan Blackfoot disease region was selected as study area, and the monitoring data of arsenic in groundwater during the period of 2003 and 2008 was subjected to time series analysis. This study attempted to discover the temporal trend of arsenic level in groundwater by applying the tool of time series analysis. ARMA and ARIMA, the common time series modelling methods, were
doi:10.1109/fskd.2009.707
dblp:conf/fskd/LeeW09
fatcat:efaiz4mlaned7jbivbeokmwsqy