1. A method of predicting an expected accuracy of a location system in a geographic region comprising the steps of: (a) providing configuration information for the geographic region; (b) estimating signal reception in the region as a function of mobile device location in the region; (c) determining an approximate statistical accuracy of a signal strength pattern as a function of the estimated signal reception in the region; and (d) modeling an expected accuracy of the location system in the region as a function of the configuration information, determined approximate statistical accuracy, and at least one network measurement report (“NMR”) parameter, wherein for each of select ones of said NMRs the NMRs include plural data vectors and the step of modeling an expected accuracy of the geolocation system further comprises modeling an expected accuracy as a function of a rate at which a correlation between adjacent NMR data vectors decay over distance, and wherein the correlation is a scalar function and a gradient of the scalar function is an indicator of error in the expected accuracy.