The short version | What aniMotum does by default | Why that reaches the parameter estimates | A worked example | Move persistence is affected too | Does this matter for my data? | What to do about it | Let fit_ssm() choose | Or choose one yourself | What this does not change

SMRU SRDL tag QC workflow | Output .CSV files | Metadata .CSV file | SSMOutputs .CSV file

Wildlife Computers QC config file structure | Additional details on config parameters

Wildlife Computers (WC) tag QC workflow | Output .CSV files | Metadata .CSV file | ssmoutputs .CSV file

SMRU QC config file structure | Additional details on config parameters

Background | Workflows

map() | Map an SSM fit to data, using default settings | Control track components | Change projection

Disclaimer | Models | Data | Argos Least-Squares (LS) location data | Argos Kalman Filter (KF) location data | GPS location data | Light-level geolocation data | Projected location data | A mixture of location data types | Fitting a model | Custom data formats | Access results | Visualising a model fit | References

Processing data | Fit an SSM | emf: specifying error multiplication factors | map: fixing model parameters | control: controlling the optimization | References

References

sim() | Simulate tracks from each of the 3 process models | Plot simulated tracks | Fit SSM to simulated lon,lat locations (with Argos error) | sim_fit() | Simulate tracks from an SSM fit and plot: | Simulate tracks with a potential function to help avoid land: | Simulate central place foraging tracks | sim_filter() | route_path() | Simulate tracks from the posterior of SSM fit(s) - sim_post() | References

Parameterizing the simulation

Example | route_path() | re-route Weddell seal SSM-predicted locations