1. Modified Moran's I for Small Samples.
- Author
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Carrijo, Tomaz Back and da Silva, Alan Ricardo
- Subjects
- *
STATISTICIANS , *AUTOCORRELATION (Statistics) , *SPATIAL analysis (Statistics) , *PEARSON correlation (Statistics) - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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