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record_format openpolar
spelling ftsmithonian:oai:figshare.com:article/17207634 2023-05-15T15:36:26+02:00 Smooth paths for a long track. William S. D. Wilcock (3749737) Rose S. Hilmo (4537330) 2021-12-15T18:23:25Z https://doi.org/10.1371/journal.pone.0260273.g014 unknown https://figshare.com/articles/figure/Smooth_paths_for_a_long_track_/17207634 doi:10.1371/journal.pone.0260273.g014 CC BY 4.0 CC-BY Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Physical Sciences not elsewhere classified studying marine mammals passive acoustic monitoring ocean bottom seismometers many spurious solutions increasing sampling rates future experiments might div >< p balaenoptera musculus </ widely spaced network false positives must obtain tracks using least 20 locations earliest arrival time different b calls true positives large network b call vocalize extensively smooth paths seismic frequencies requiring groups pacific northwest obtained iteratively minimize changes localize calls including constraints important tool follow within first harmonic feasible time distance window detecting harmonics describe methods calls identified approaches lead 15 hz Image Figure 2021 ftsmithonian https://doi.org/10.1371/journal.pone.0260273.g014 2021-12-19T19:26:38Z An example of smoothed paths that are fitted to a track comprising 355 call locations between 0021 UT and 1834 UT on December 13, 2011. (a) Smoothed tracks obtained using the method of Eq ( 15 ) with three choices of smoothing weight after discarding the 21 outlying locations. Call locations are shown as faint plus symbols with an ellipse illustrating the average location uncertainty. The mean squared normalized spatial misfit is 2.49, 2.07 and 1.81 for smoothing weights α = 10 8 , 10 6 and 10 4 , respectively. Also show is a smoothed track based on averaging locations temporally by weighting with a Gaussian function with a 20-minute standard deviation. (b) Tracks obtained using the double-difference method of Eq ( 19 ). The starting data set comprises 13,174 double-difference times and is constructed by linking each call to up to 8 calls within the next hour if there are four common stations. The solutions were obtained with 5 iterations at each smoothing weight and with poorly fitting double difference times discarded after 3 iterations if the absolute misfit exceeded three times the assumed uncertainty. Totals of 11,999, 11,683 and 11,625 difference times were used in the final solutions for smoothing weights of β = 10, 2, and 0.5, respectively. The mean variances of the double difference time misfits normalized to their assumed uncertainties are 0.58, 0.44, and 0.41. (c-d) Speed as a function of time corresponding to the tracks shown in (a) and (b), respectively. Still Image Balaenoptera musculus Unknown Pacific
institution Open Polar
collection Unknown
op_collection_id ftsmithonian
language unknown
topic Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Physical Sciences not elsewhere classified
studying marine mammals
passive acoustic monitoring
ocean bottom seismometers
many spurious solutions
increasing sampling rates
future experiments might
div >< p
balaenoptera musculus </
widely spaced network
false positives must
obtain tracks using
least 20 locations
earliest arrival time
different b calls
true positives
large network
b call
vocalize extensively
smooth paths
seismic frequencies
requiring groups
pacific northwest
obtained iteratively
minimize changes
localize calls
including constraints
important tool
follow within
first harmonic
feasible time
distance window
detecting harmonics
describe methods
calls identified
approaches lead
15 hz
spellingShingle Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Physical Sciences not elsewhere classified
studying marine mammals
passive acoustic monitoring
ocean bottom seismometers
many spurious solutions
increasing sampling rates
future experiments might
div >< p
balaenoptera musculus </
widely spaced network
false positives must
obtain tracks using
least 20 locations
earliest arrival time
different b calls
true positives
large network
b call
vocalize extensively
smooth paths
seismic frequencies
requiring groups
pacific northwest
obtained iteratively
minimize changes
localize calls
including constraints
important tool
follow within
first harmonic
feasible time
distance window
detecting harmonics
describe methods
calls identified
approaches lead
15 hz
William S. D. Wilcock (3749737)
Rose S. Hilmo (4537330)
Smooth paths for a long track.
topic_facet Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Physical Sciences not elsewhere classified
studying marine mammals
passive acoustic monitoring
ocean bottom seismometers
many spurious solutions
increasing sampling rates
future experiments might
div >< p
balaenoptera musculus </
widely spaced network
false positives must
obtain tracks using
least 20 locations
earliest arrival time
different b calls
true positives
large network
b call
vocalize extensively
smooth paths
seismic frequencies
requiring groups
pacific northwest
obtained iteratively
minimize changes
localize calls
including constraints
important tool
follow within
first harmonic
feasible time
distance window
detecting harmonics
describe methods
calls identified
approaches lead
15 hz
description An example of smoothed paths that are fitted to a track comprising 355 call locations between 0021 UT and 1834 UT on December 13, 2011. (a) Smoothed tracks obtained using the method of Eq ( 15 ) with three choices of smoothing weight after discarding the 21 outlying locations. Call locations are shown as faint plus symbols with an ellipse illustrating the average location uncertainty. The mean squared normalized spatial misfit is 2.49, 2.07 and 1.81 for smoothing weights α = 10 8 , 10 6 and 10 4 , respectively. Also show is a smoothed track based on averaging locations temporally by weighting with a Gaussian function with a 20-minute standard deviation. (b) Tracks obtained using the double-difference method of Eq ( 19 ). The starting data set comprises 13,174 double-difference times and is constructed by linking each call to up to 8 calls within the next hour if there are four common stations. The solutions were obtained with 5 iterations at each smoothing weight and with poorly fitting double difference times discarded after 3 iterations if the absolute misfit exceeded three times the assumed uncertainty. Totals of 11,999, 11,683 and 11,625 difference times were used in the final solutions for smoothing weights of β = 10, 2, and 0.5, respectively. The mean variances of the double difference time misfits normalized to their assumed uncertainties are 0.58, 0.44, and 0.41. (c-d) Speed as a function of time corresponding to the tracks shown in (a) and (b), respectively.
format Still Image
author William S. D. Wilcock (3749737)
Rose S. Hilmo (4537330)
author_facet William S. D. Wilcock (3749737)
Rose S. Hilmo (4537330)
author_sort William S. D. Wilcock (3749737)
title Smooth paths for a long track.
title_short Smooth paths for a long track.
title_full Smooth paths for a long track.
title_fullStr Smooth paths for a long track.
title_full_unstemmed Smooth paths for a long track.
title_sort smooth paths for a long track.
publishDate 2021
url https://doi.org/10.1371/journal.pone.0260273.g014
geographic Pacific
geographic_facet Pacific
genre Balaenoptera musculus
genre_facet Balaenoptera musculus
op_relation https://figshare.com/articles/figure/Smooth_paths_for_a_long_track_/17207634
doi:10.1371/journal.pone.0260273.g014
op_rights CC BY 4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.1371/journal.pone.0260273.g014
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