Recent studies suggest that crustal deformation can be time-dependent and nontectonic, forcing us to reevaluate theories of earthquake failure mechanisms rooted in the elastic rebound theory. Studies using data from modern GPS networks show how this traditional idea of steady long-term deformation can be influenced by seasonal factors such as fluctuations in loading and temperature variations. Statistically significant fluctuations in annual micro-seismicity rates have also been observed. Here we build on these principles and take an in-depth look at GPS time series in Central California. By inverting the position of GPS time series we investigate their seasonal phase, maximum amplitude, and long-term velocities. We use this to understand if correlations can be drawn between a station's geographic and geologic location, specifically whether the station lies in a basin or on bedrock. We also test whether the time series reference frame modifies our results. In the future, we hope to use this knowledge as a constraint for understanding the best stations to include for building a seasonal strain budget model.