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GIS-based slope movement susceptibility (SMS) map is developed for both the Ouled Driss and Machroha districts of northeastern Algeria, using the logistic regression technique. Slope movement (SM) locations were spotted using the data from various sources. An inventory map containing 489 events occurred between 1987 and 2013 was used to extract the dependent variable. SM-related factors such as slope gradient, slope aspect, topographical elevations, lithology, faulting, drainage system, road network, land use, precipitations, and seismic disturbances were considered as independent variables. The effect of each parameter on SM occurrence was deduced from the corresponding coefficient that appeared in the logistic regression function. The results of this study indicated that slope gradient, lithology, and precipitations were statistically significant in predicting slope instability. The susceptibility …