<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>Payame Noor University</PublisherName>
				<JournalTitle>Physical Social Planning</JournalTitle>
				<Issn>2645-5471</Issn>
				<Volume>1</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2013</Year>
					<Month>09</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Spatial analysis of unemployment in Urban and Rural Areas in Iran
With exploratory Spatial Data Analysis Approach</ArticleTitle>
<VernacularTitle>Spatial analysis of unemployment in Urban and Rural Areas in Iran
With exploratory Spatial Data Analysis Approach</VernacularTitle>
			<FirstPage>37</FirstPage>
			<LastPage>48</LastPage>
			<ELocationID EIdType="pii">2168</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Mohamadreza</FirstName>
					<LastName>Rezvani</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Hossein</FirstName>
					<LastName>Mansourian</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Mehrdad</FirstName>
					<LastName>Mahmoudian Zamaneh</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Razieh</FirstName>
					<LastName>Heydarian Mohammadabadi</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2013</Year>
					<Month>05</Month>
					<Day>28</Day>
				</PubDate>
			</History>
		<Abstract>Unemployment is a fundamental issue in world economy so that increase in employment and decrease in unemployment is an important indicator about of development. Iran not alone suffers from high unemployment rate but also the spatial distribution of unemployment rate is very solicitous. These papers with emphasis on exploratory spatial data analysis investigate the spatial distribution of unemployment rate in urban and rural areas with using data of census 2011. Results of exploratory spatial data analysis indicate clustering (positive spatial autocorrelation) and spatial heterogeneous in spatial distribution of urban and rural unemployment in Iran&#039;s counties. Therefore results of this paper can provide context for proper planning in order to obviation regional inequality in unemployment rate in Iran.</Abstract>
			<OtherAbstract Language="FA">Unemployment is a fundamental issue in world economy so that increase in employment and decrease in unemployment is an important indicator about of development. Iran not alone suffers from high unemployment rate but also the spatial distribution of unemployment rate is very solicitous. These papers with emphasis on exploratory spatial data analysis investigate the spatial distribution of unemployment rate in urban and rural areas with using data of census 2011. Results of exploratory spatial data analysis indicate clustering (positive spatial autocorrelation) and spatial heterogeneous in spatial distribution of urban and rural unemployment in Iran&#039;s counties. Therefore results of this paper can provide context for proper planning in order to obviation regional inequality in unemployment rate in Iran.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Unemployment</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">exploratory spatial data analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Urban areas</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Rural Areas</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Iran</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://psp.journals.pnu.ac.ir/article_2168_2429f7cfa17f41b9c6189f89290a2666.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
