A Local Multi-Scale Spatial Autocorrelation Measure for Social Media Datasets

Some time ago we reported about a new method for assessing spatial autocorrelation among points in social media datasets. A major contribution thereby is the ability of restricting the analysis to specific scales limited by both, an upper and a lower bound. The corresponding paper is now officially available online at IJGIS:

Westerholt, R., Resch, B., and Zipf, A. (2014): A local scale-sensitive indicator of spatial autocorrelation for assessing high- and low-value clusters in multi-scale datasets. International Journal of Geographical Information Science, issue pending, pp. pending. DOI:10.1080/13658816.2014.1002499.