@article{Pawitan_2011, title={Spatial Distribution Based on Semivariogram Model}, volume={1}, url={https://journal.uii.ac.id/JEP/article/view/2282}, DOI={10.20885/ejem.v1i1.2282}, abstractNote={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}, number={1}, journal={Economic Journal of Emerging Markets}, author={Pawitan, Gandi}, year={2011}, month={Sep.}, pages={27–35} }