This is the command filter1dgmt that can be run in the OnWorks free hosting provider using one of our multiple free online workstations such as Ubuntu Online, Fedora Online, Windows online emulator or MAC OS online emulator
filter1d - Do time domain filtering of 1-D data tables
filter1d [ table ] type<width>[mode] [ increment ] [ ] [ ignore_val ] [ lack_width ] [
t_col ] [ q_factor ] [ symmetry_factor ] [ t_min/t_max/t_inc[+] ] [ [level] ] [ -b<binary>
] [ -d<nodata> ] [ -f<flags> ] [ -g<gaps> ] [ -h<headers> ] [ -i<flags> ] [ -o<flags> ] [
Note: No space is allowed between the option flag and the associated arguments.
filter1d is a general time domain filter for multiple column time series data. The user
specifies which column is the time (i.e., the independent variable). (See -N option
below). The fastest operation occurs when the input time series are equally spaced and
have no gaps or outliers and the special options are not needed. filter1d has options -L,
-Q, and -S for unevenly sampled data with gaps.
Sets the filter type. Choose among convolution and non-convolution filters. Append
the filter code followed by the full filter <width> in same units as time column.
Available convolution filters are:
(b) Boxcar: All weights are equal.
(c) Cosine Arch: Weights follow a cosine arch curve.
(g) Gaussian: Weights are given by the Gaussian function.
(f) Custom: Instead of width give name of a one-column file with your own weight
Non-convolution filters are:
(m) Median: Returns median value.
(p) Maximum likelihood probability (a mode estimator): Return modal value. If more
than one mode is found we return their average value. Append - or + to the filter
width if you rather want to return the smallest or largest of the modal values.
(l) Lower: Return the minimum of all values.
(L) Lower: Return minimum of all positive values only.
(u) Upper: Return maximum of all values.
(U) Upper: Return maximum or all negative values only.
Upper case type B, C, G, M, P, F will use robust filter versions: i.e., replace
outliers (2.5 L1 scale off median) with median during filtering.
In the case of L|U it is possible that no data passes the initial sign test; in
that case the filter will return 0.0.
table One or more ASCII (or binary, see -bi[ncols][type]) data table file(s) holding a
number of data columns. If no tables are given then we read from standard input.
increment is used when series is NOT equidistantly sampled. Then increment will be
the abscissae resolution, i.e., all abscissae will be rounded off to a multiple of
increment. Alternatively, resample data with sample1d.
-E Include Ends of time series in output. Default loses half the filter-width of data
at each end.
To ignore values; If an input value equals ignore_val it will be set to NaN.
Checks for Lack of data condition. If input data has a gap exceeding width then no
output will be given at that point [Default does not check Lack].
Indicates which column contains the independent variable (time). The left-most
column is # 0, the right-most is # (n_cols - 1). [Default is 0].
Assess Quality of output value by checking mean weight in convolution. Enter
q_factor between 0 and 1. If mean weight < q_factor, output is suppressed at this
point [Default does not check Quality].
Checks symmetry of data about window center. Enter a factor between 0 and 1. If (
(abs(n_left - n_right)) / (n_left + n_right) ) > factor, then no output will be
given at this point [Default does not check Symmetry].
Make evenly spaced time-steps from t_min to t_max by t_inc [Default uses input
times]. Append + to t_inc if you are specifying the number of equidistant points
-V[level] (more ...)
Select verbosity level [c].
-bi[ncols][t] (more ...)
Select native binary input.
-bo[ncols][type] (more ...)
Select native binary output. [Default is same as input].
-d[i|o]nodata (more ...)
Replace input columns that equal nodata with NaN and do the reverse on output.
-f[i|o]colinfo (more ...)
Specify data types of input and/or output columns.
-g[a]x|y|d|X|Y|D|[col]z[+|-]gap[u] (more ...)
Determine data gaps and line breaks.
-h[i|o][n][+c][+d][+rremark][+rtitle] (more ...)
Skip or produce header record(s).
-icols[l][sscale][ooffset][,...] (more ...)
Select input columns (0 is first column).
-ocols[,...] (more ...)
Select output columns (0 is first column).
-:[i|o] (more ...)
Swap 1st and 2nd column on input and/or output.
-^ or just -
Print a short message about the syntax of the command, then exits (NOTE: on Windows
use just -).
-+ or just +
Print an extensive usage (help) message, including the explanation of any
module-specific option (but not the GMT common options), then exits.
-? or no arguments
Print a complete usage (help) message, including the explanation of options, then
Print GMT version and exit.
Print full path to GMT share directory and exit.
ASCII FORMAT PRECISION
The ASCII output formats of numerical data are controlled by parameters in your gmt.conf
file. Longitude and latitude are formatted according to FORMAT_GEO_OUT, whereas other
values are formatted according to FORMAT_FLOAT_OUT. Be aware that the format in effect can
lead to loss of precision in the output, which can lead to various problems downstream. If
you find the output is not written with enough precision, consider switching to binary
output (-bo if available) or specify more decimals using the FORMAT_FLOAT_OUT setting.
To filter the data set in the file cruise.gmtd containing evenly spaced gravity,
magnetics, topography, and distance (in m) with a 10 km Gaussian filter, removing
outliers, and output a filtered value every 2 km between 0 and 100 km:
gmt filter1d cruise.gmtd -T0/1.0e5/2000 -FG10000 -N3 -V > filtered_cruise.gmtd
Data along track often have uneven sampling and gaps which we do not want to interpolate
using sample1d. To find the median depth in a 50 km window every 25 km along the track of
cruise v3312, stored in v3312.dt, checking for gaps of 10km and asymmetry of 0.3:
gmt filter1d v3312.dt -FM50 -T0/100000/25 -L10 -S0.3 > v3312_filt.dt
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