TY - JOUR AU - Pawitan, Gandi PY - 2011/09/23 Y2 - 2024/03/28 TI - Spatial Distribution Based on Semivariogram Model JF - Economic Journal of Emerging Markets JA - Econ. J. Emerg. Mark. VL - 1 IS - 1 SE - Articles DO - 10.20885/ejem.v1i1.2282 UR - https://journal.uii.ac.id/JEP/article/view/2282 SP - 27-35 AB - 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 ER -