Day: 30 December 2014
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A local scale-sensitive indicator of spatial autocorrelation for assessing high- and low-value clusters in multi-scale datasets (e.g., social media datasets)
Georeferenced user-generated datasets like those extracted from Twitter and similar social media feeds are increasingly gaining the interest of spatial analysts. Such datasets oftentimes reflect a wide array of real-world phenomena. However, each of these phenomena takes place at a certain spatial scale. Therefore, user-generated datasets are of multi-scale nature. Such datasets cannot be properly…