Moran's I


Moran's I is a statistical measure used to determine spatial autocorrelation, which is the degree to which data points in a dataset are related to one another based on their spatial proximity. It is calculated by comparing the difference between each data point and the mean value of the dataset to the overall variance of the dataset. A positive Moran's I value indicates that similar values tend to cluster together, while a negative value indicates that dissimilar values tend to be close to one another. Moran's I is commonly used in spatial data analysis, such as in identifying spatial patterns in disease outbreaks or in analyzing the distribution of natural resources.


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