The previous researches on the prediction of accidents frequently assumed the independence among the error terms, from the standpoint of traditional statistics. However, as spatial data including information about geographical spaces, data collected in each traffic analysis zones are not randomly distributed in space and have the spatial correlation each other. That violates the basic assumptio...

We produce methodology for regression analysis when the geographic locations of independent and dependent variables do not coincide, in which case we speak misaligned data. develop investigate two complementary methods with data that circumvent need to estimate or specify covariance errors. carry out a detailed reanalysis Maccini Yang (2009) find economically significant quantitative difference...

This paper reviews a number of theoretical aspects for implementing an explicit spatial perspective in econometrics for modelling non-continuous data, in general, and count data, in particular. It provides an overview of the several spatial econometric approaches that are available to model data that are collected with reference to location in space, from the classical spatial econometrics appr...