Spatial Distribution Based on Semivariogram Model

Spatial Distribution Based on Semivariogram Model

Blog Article

This article aims to discuss some Air Freshener aspects in conducting inferential analysis of census data.In this analysis, the assumptions of normality and IID (independently and identically distribution) in the observations are no longer realistic.Hence conventional analyses which are based on these boxes assumptions are invalid and unreliable.

Other alternatives can be considered, such as semivariogram analysis.Semivariogram analysis assumes that observations are dependent geographically.The analysis is useful in understanding spatial distribution of characteristics under investigation.

Keywords: census, aggregation, semivariogram, autocorrelation, spatial distribution.