model_vms: Vessel Modeling with Gaussian Mixture Models
In CBMC-GCMP/dafishr: Download, Wrangle, and Analyse Vessel Monitoring System Data
model_vms R Documentation
Vessel Modeling with Gaussian Mixture Models
Description
This function uses normalmixEM from the mixtools package to model speed of vessels and estimates their behavior.
Specifically, if the vessel was in a fishing activity or cruising
Usage
model_vms(df)
Arguments
df
a data.frame preprocessed using the preprocessing_vms() function from this package
Value
a data.frame with a vessel_state column with the type of model implemented
Examples
preprocessing_vms(sample_dataset, destination.folder = tempdir())
df <- fst::read_fst(paste0(tempdir(), "/vms_2019_1_1_10_preprocessed.fst"))
model_vms(df)
CBMC-GCMP/dafishr documentation built on July 5, 2024, 6:25 a.m.
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| model_vms | R Documentation |
Vessel Modeling with Gaussian Mixture Models
Description
This function uses normalmixEM from the mixtools package to model speed of vessels and estimates their behavior.
Specifically, if the vessel was in a fishing activity or cruising
Usage
model_vms(df)
Arguments
df |
a data.frame preprocessed using the |
Value
a data.frame with a vessel_state column with the type of model implemented
Examples
preprocessing_vms(sample_dataset, destination.folder = tempdir())
df <- fst::read_fst(paste0(tempdir(), "/vms_2019_1_1_10_preprocessed.fst"))
model_vms(df)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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