Abstract
For many water quality studies, a data analyst, or modeler, may need to know the spatio-temproal patterns of the data sets and their relationships in both pre-processing and post-processing. Geographic Information System (GIS) can provide an exploratory spatio-temporal data analysis environment with its capability of spatio-temproal data query, logical and arithmetical operations, visualization, and the integrated statistical functions. This paper will introduce the basic concept and the framework of a GIS exploratory data analysis module (GISEDA) with an emphasis on a multi-window approach for the spatio-temporal pattern analysis of water quality data. A water quality database of GEO-WAMS, a GIS-based watershed modeling support system, has been used to test the prototype of GISEDA.
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Lin, H., Xia, F. A multi-window GIS approach for water quality data analysis. Chinese Geographical Science 5, 257–264 (1995). https://doi.org/10.1007/BF02665582
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DOI: https://doi.org/10.1007/BF02665582