Separating trends from noise in geodetic time series — with rigour.
- Trajectory estimation, with geophysical rigour.
Time series, noise models and trends, serving every decision.
Hector is a geophysical time series analysis platform.
Developed and maintained by the TeroMovigo team, Hector is today applied in geophysical research in Australia, China, Poland, Portugal, Romania, and the United States. It combines trend estimation and noise modelling in a single process, taking into account temporally correlated noise and providing realistic uncertainty estimates.
Trajectory estimation
Hector estimates linear trends with annual, semi-annual and other configurable periods, and allows for the estimation of offsets at specific epochs. The maximum likelihood estimation method simultaneously determines the trend and the noise model parameters.
Noise modelling
Hector estimates linear trends with annual, semi-annual and other configurable periods, and allows for the estimation of offsets at specific epochs. The maximum likelihood estimation method simultaneously determines the trend and the noise model parameters.
Every trend extracted. Every uncertainty quantified.
More rigour. Less uncertainty. Better estimates.
Features
Trends that withstand the noise
Temporally correlated noise significantly impacts the accuracy of trend estimates. Hector estimates trend and noise simultaneously, ensuring reliable and defensible uncertainty estimates.
Robust analysis with incomplete time series
Geophysical time series are rarely complete. Hector eliminates the need for interpolation and zero-filling, handling missing data without compromising the estimation process.
Data quality control
Hector includes dedicated tools for identifying and removing outliers, generating power spectral density plots and automatically detecting offsets in the data.
TeroMovigo: the team that created and maintains Hector. Principal authors of Hector, committed to ongoing support for the academic community in geophysical research.
Recent reads from the blog.
Three reads on trajectory estimation, correlated noise and the fundamentals of geophysical analysis.
Access Hector and analyse your time series with geophysical precision
Hector is a validated tool for estimating trajectory models in time series with temporally correlated noise. You gain:
- Maximium likelihood estimation of trend and noise
- Correct handling of missing data.
- Periodic signals included in the estimation.
- Automatic offset detection.
- Multiple combinable noise models.
- Outlier removal and spectral analysis tools.
Hector is available as open-source software for the research community, while commercial users can license professional support, integration, and tailored solutions.