![]() On the basis of the geo-text classification and semantic vector transformation, a quantitative description method for spatial autocorrelation was established by the Voronoi weighting method of inverse vicinity distance. Therefore, this study proposes a method to detect uncorrelated geo-text annotations based on Voronoi k-order neighborhood partition and auto-correlation statistical models. However, irrelevant geo-texts can be added to the web map, and these geo-texts reduce utility to users. ![]() Unstructured geo-text annotations volunteered by users of web map services enrich the basic geographic data.
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