Abstract:We attempt to quickly detect the fault screep deformation from the large GNSS observation network, and accurately invert the spatio-temporal distribution and evolution characteristics of faultcreep. GNSS network filtering, crustal deformation information, and spatio-temporal distribution inversion of fault creep are combined into one method. According to the whole GNSS network spatio-temporal observation array and the high space correction of fault deformation, and based on the principal component analysis of GNSS displacement spatio-temporal series covering the fault surface, the spatio-temporal distribution and evolution process of creeping fault can be detected and retrieved quickly by using principal component information. Taking the 2005 Sumatra MW8.6 post-seismicslip and 2006 Guerrero slow slip event for examples, spatio-temporal inversion of fault creep is rapid realized. The results agree well with previous research.