Global and Local Spatial Data Mining on Literacy Rates of Bangladesh

Abstract

This research investigates the spatial properties of Bangladesh's literacy rates and educational establishments at the Zila level. The data is from the 64 well defined administrative units of Bangladesh known as Zilas. For autocorrelation we use univariate Moran's I and other various bivariate Exploratory Spatial Data Analysis (ESDA) techniques. Spatial clusters are found with Zilas that are surrounded with Zilas with high literacy rates. The results found from this research provide interesting and useful information to government, environmentalists and relevant decision makers' in the assessment of the relative performance of a particular geographic area. The results could also be used for causal analysis by domain experts.