The objective of this thesis was to create landslide susceptibility models for the Podsljeme area of the City of Zagreb using bivariate statistical analysis methods, specifically the Weight of Evidence method and Information Value method. A total of 18 landslide susceptibility models were created according to the predetermined scenarios. Each scenario is defined by the spatial resolution of the used factor maps and the spatial resolution and type of geometric representation of the landslides from the inventory map. The factor maps used to develop the landslide susceptibility models were in three different resolutions (1 m, 2 m and 5 m) as follows: slope maps, terrain breakdown, stratigraphic units, distance from geological contacts, distance from the drainage network and land use according to cover type. Landslide inventories with spatial resolutions of 1 m, 2 m and 5 m were used in the creation of the landslide susceptibility models, in which the landslides were represented either by polygons, centroids or points on the main cracks. After all the landslide susceptibility models were created, the levels of accuracy and prediction of individual models were determined using the ROC curve analysis. By comparing the results of the ROC curve analysis, it was determined that all models of landslide susceptibility give very good results, but the model of landslide susceptibility according to scenario S12 gives a combination of the highest degrees of accuracy (92%) and prediction (92%) of the research area. The mentioned model was obtained by applying the Information Value method and using factor maps with a spatial resolution of 1 m and landslide inventory of the same spatial resolution, in which landslides are represented by points on the main cracks.