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<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Environmental Studies</JournalTitle>
				<Issn>1025-8620</Issn>
				<Volume>33</Volume>
				<Issue>43</Issue>
				<PubDate PubStatus="epublish">
					<Year>2007</Year>
					<Month>11</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>-</ArticleTitle>
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			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">18807</ELocationID>
			
			
			<Language>FA</Language>
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				<PublicationType>Journal Article</PublicationType>
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				<PubDate PubStatus="received">
					<Year>1970</Year>
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		<Abstract>Application of statistical techniques in applied sciences, especially in climatology and meteorology, are widespread and a common practice. This paper deals with the application of modern techniques such as kriging, co-kriging, and inverse–distance weighted for prediction of rainfall in places where there are not gauging facilities. The available data from all stations throughout the country, since their establishment to 2004, have been used to find the variogram and cross-variogram. Based on the best possible model, rainfall map for the country has been prepared.</Abstract>
			<OtherAbstract Language="FA">Application of statistical techniques in applied sciences, especially in climatology and meteorology, are widespread and a common practice. This paper deals with the application of modern techniques such as kriging, co-kriging, and inverse–distance weighted for prediction of rainfall in places where there are not gauging facilities. The available data from all stations throughout the country, since their establishment to 2004, have been used to find the variogram and cross-variogram. Based on the best possible model, rainfall map for the country has been prepared.</OtherAbstract>
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			<Param Name="value">Rainfall</Param>
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			<Param Name="value">Spatial prediction</Param>
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			<Param Name="value">Cokriging</Param>
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