Spatial Distribution Based on Semivariogram Model

This article aims to discuss some aspects in conducting inferential analysis of census data.<br />In this analysis, the assumptions of normality and IID (independently and identically distribution)<br />in the observations are no longer realistic. Hence conventional analyses which are<...

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Main Author: Gandi Pawitan
Format: Article
Language:English
Published: Universitas Islam Indonesia 2011-09-01
Series:Economic Journal of Emerging Markets
Online Access:http://jurnal.uii.ac.id/index.php/JEP/article/view/2282
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spelling doaj-af533bc742a04669861c3e2d7fc070332020-11-25T01:09:32ZengUniversitas Islam IndonesiaEconomic Journal of Emerging Markets2086-31282502-180X2011-09-01112173Spatial Distribution Based on Semivariogram ModelGandi PawitanThis article aims to discuss some aspects in conducting inferential analysis of census data.<br />In this analysis, the assumptions of normality and IID (independently and identically distribution)<br />in the observations are no longer realistic. Hence conventional analyses which are<br />based on these assumptions are invalid and unreliable. Other alternatives can be considered,<br />such as semivariogram analysis. Semivariogram analysis assumes that observations<br />are dependent geographically. The analysis is useful in understanding spatial distribution of<br />characteristics under investigation.<br />Keywords: census, aggregation, semivariogram, autocorrelation, spatial distributionhttp://jurnal.uii.ac.id/index.php/JEP/article/view/2282
collection DOAJ
language English
format Article
sources DOAJ
author Gandi Pawitan
spellingShingle Gandi Pawitan
Spatial Distribution Based on Semivariogram Model
Economic Journal of Emerging Markets
author_facet Gandi Pawitan
author_sort Gandi Pawitan
title Spatial Distribution Based on Semivariogram Model
title_short Spatial Distribution Based on Semivariogram Model
title_full Spatial Distribution Based on Semivariogram Model
title_fullStr Spatial Distribution Based on Semivariogram Model
title_full_unstemmed Spatial Distribution Based on Semivariogram Model
title_sort spatial distribution based on semivariogram model
publisher Universitas Islam Indonesia
series Economic Journal of Emerging Markets
issn 2086-3128
2502-180X
publishDate 2011-09-01
description This article aims to discuss some aspects in conducting inferential analysis of census data.<br />In this analysis, the assumptions of normality and IID (independently and identically distribution)<br />in the observations are no longer realistic. Hence conventional analyses which are<br />based on these assumptions are invalid and unreliable. Other alternatives can be considered,<br />such as semivariogram analysis. Semivariogram analysis assumes that observations<br />are dependent geographically. The analysis is useful in understanding spatial distribution of<br />characteristics under investigation.<br />Keywords: census, aggregation, semivariogram, autocorrelation, spatial distribution
url http://jurnal.uii.ac.id/index.php/JEP/article/view/2282
work_keys_str_mv AT gandipawitan spatialdistributionbasedonsemivariogrammodel
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