Modified Moran's I for Small Samples. Issue 4 (12th May 2017)

• Record Type: Journal Article
• Authors: Carrijo, Tomaz Back; da Silva, Alan Ricardo
• Is Part Of: Geographical analysis. Volume 49:Issue 4(2017)
• Page Start: 451
• Page End: 467
• Publication Date: 2017-05-12
• Subjects: Geography -- Methodology -- Periodicals; Electronic journals; 910.00182
• DOI: 10.1111/gean.12130
• Languages: English
• ISSNs: 0016-7363

Abstract

Abstract : The most common indicator used to measure spatial dependence is Moran's I proposed by statistician Patrick A. P. Moran in 1950. The index is simple to use and applies the principle of the Pearson correlation coefficient, although it incorporates a proximity measure between elements. However, Moran's I tends to underestimate real spatial autocorrelation when the number of locations are few. This study aims to present a modified version of Moran's I that can measure real spatial autocorrelation even with small samples and check for spatial dependence.