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First-order, second-moment (FOSM) approximations of limit equilibrium slope stability equations can be combined with digital elevation models to perform spatially distributed probabilistic landslide hazard analyses. This is most easily accomplished using the infinite slope idealization, which is the basis of many published reconnaissance-level slope stability assessments. Comparisons of FOSM and Monte Carlo results show that FOSM approximations yield accurate results when input distributions are symmetric, or nearly symmetric, probability density functions. Contrary to the assumptions of previous authors, however, the Monte Carlo results suggest that factors of safety may be better represented by log-normal distributions than by normal distributions. A 3- × 2-km area near Wheeling, West Virginia, covered by a pre-existing landslide hazard map was used to illustrate the application of the spatially distributed …