When noise distorts the trend: the problem Hector solves
Temporally correlated noise significantly impacts the accuracy of trend estimates, making it difficult to distinguish signal from noise. Hector estimates trends and noise simultaneously, separating the real signal from fluctuations that can mimic it.
Incomplete series, intact estimates: how Hector handles what is missing
Geophysical time series are rarely complete. Hector handles missing data without interpolation or zero-filling, avoiding shortcuts and preserving the integrity of the estimation process.
Open science with a signature: TeroMovigo behind Hector
Open-source academic software, maintained by those who created it. Meet TeroMovigo and the way it gives rigorous science back to the geophysical community.