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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| Format: | Article |
| Language: | English |
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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 |
| Summary: | 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 |
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| ISSN: | 2086-3128 2502-180X |