(14)Applying Tests of Spatial Dependence in Mineral Resource Exploratory Data Analysis

摘要

Theoretically, statistical tests of spatial dependence (e.g. Moran's 1 and Geary's c) should be useful for exploratory data analysis (EDA). However, there is limited work in the literature that applies such tests in EDA for mineral resource estimation, perhaps, due to the lack of computational algorithms for estimating spatial dependence. This work presents an algorithm for estimating the global and local Moran's I. We use composites from a real lead data set to illustrate how this algorithm can be used in EDA. The results show that more efficient algorithms, including heuristics, are required to ensure faster estimation times.