Paper Information

Journal:   JOURNAL OF GEOGRAPHY AND PLANNING   FALL 2014 , Volume 18 , Number 49; Page(s) 101 To 118.
 
Paper: 

THE STUDY OF PRECIPITATION IN NORTH OF IRAN USING CLUSTER AND DISCRIMINATIVE FUNCTION ANALYSES

 
 
Author(s):  KHORSHIDDOUST ALI MOHAMMAD, SHIRZAD ALI ASGHAR
 
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Abstract: 

In this research we used multivariable statistical methods (cluster and discriminative analysis) with the purpose of the recognition of spatiotemporal differences of precipitation in similar areas. We used monthly precipitation of 35 synoptic, climatic, and rain-gauging station data records of Northern Iran including three provinces of Golestan, Guilan, and Mazandaran for 1995-2007 periods. For grouping and homogenizing the stations, we initially applied Ward cluster analysis method. Then we used discriminative analysis and Wilk’s Lambda for finding out the validity of cluster analysis calculations. Results obtained from cluster analysis with Euclid interval method indicated that 4 major clusters can be drawn according to the amount and the location of the precipitation in the study area. Discriminate analysis showed that 82.3% of the clusters in our analysis were valid and about 17.7% were incorrect. The Wilk’s Lambda method also proved the differences between the means.

 
Keyword(s): PRECIPITATION, CLUSTER ANALYSIS, DISCRIMINATE ANALYSIS, NORTH WESTERN IRAN
 
References: 
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