Probabilistic Seismic Hazard Assessment (PSHA) relies on long-term earthquake forecasts, and ground-motion models. Up to now, geodetic data has been rather under-used in PSHA, although it provides unique and unprecedented information on the deformation rates of tectonic structures from local to regional scales. The aim of this PhD thesis is to improve earthquake recurrence models by quantitatively including the information derived from geodetic measurements, with an application to Ecuador, a country exposed both to shallow crustal earthquakes and megathrust subduction events. The second chapter presents the building of a probabilistic seismic hazard model for Ecuador, using historical and contemporary seismicity, recent knowledges about act...