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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Universitas Islam Indonesia
2011-09-01
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Series: | Economic Journal of Emerging Markets |
Online Access: | http://jurnal.uii.ac.id/index.php/JEP/article/view/2282 |
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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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1725178171308900352 |