grdtrack - Sample grids at specified (x,y) locations
grdtrack [ xyfile ] -Ggrd1
-Ggrd2 ... [
-Af|p|m|r|R[+l] ] [
-Clength[u]/ds[/spacing][+a][+v]
] [ -Ddfile ] [ -Eline ] [ -N ] [
-Rregion ] [ -Smethod/modifiers ] [
-T[radius[u]][+e|p]] [
-V[level] ] [ -Z ] [ -bbinary ] [
-dnodata ] [ -eregexp ] [ -fflags ] [ -ggaps ] [
-hheaders ] [ -iflags ] [ -nflags ] [ -oflags ]
[ -sflags ] [ -:[i|o] ]
Note: No space is allowed between the option flag and the
associated arguments.
grdtrack reads one or more grid files (or a Sandwell/Smith
IMG files) and a table (from file or standard input; but see -E for
exception) with (x,y) [or (lon,lat)] positions in the first two columns
(more columns may be present). It interpolates the grid(s) at the positions
in the table and writes out the table with the interpolated values added as
(one or more) new columns. Alternatively (-C), the input is
considered to be line-segments and we create orthogonal cross-profiles at
each data point or with an equidistant separation and sample the grid(s)
along these profiles. A bicubic [Default], bilinear, B-spline or
nearest-neighbor (see -n) interpolation is used, requiring boundary
conditions at the limits of the region (see -n; Default uses
"natural" conditions (second partial derivative normal to edge is
zero) unless the grid is automatically recognized as periodic.)
- -Ggridfile
- grdfile is a 2-D binary grid file with the function f(x,y). If the
specified grid is in Sandwell/Smith Mercator format you must append a
comma-separated list of arguments that includes a scale to multiply the
data (usually 1 or 0.1), the mode which stand for the following: (0) Img
files with no constraint code, returns data at all points, (1) Img file
with constraints coded, return data at all points, (2) Img file with
constraints coded, return data only at constrained points and NaN
elsewhere, and (3) Img file with constraints coded, return 1 at
constraints and 0 elsewhere, and optionally the max latitude in the IMG
file [80.738]. You may repeat -G as many times as you have grids
you wish to sample. Alternatively, use -G+llist to pass a
list of file names. The grids are sampled and results are output in the
order given. (See GRID FILE FORMAT below.)
- xyfile
- This is an ASCII (or binary, see -bi) file where the first 2
columns hold the (x,y) positions where the user wants to sample the 2-D
data set.
- -Af|pm|r|R[+l]
- For track resampling (if -C or -E are set) we can select how
this is to be performed. Append f to keep original points, but add
intermediate points if needed [Default], m as f, but first
follow meridian (along y) then parallel (along x), p as f,
but first follow parallel (along y) then meridian (along x), r to
resample at equidistant locations; input points are not necessarily
included in the output, and R as r, but adjust given spacing
to fit the track length exactly. Finally, append +l if distances
should be measured along rhumb lines (loxodromes). Ignored unless
-C is used.
- -Clength[u]/ds[/spacing][+a][+v]
- Use input line segments to create an equidistant and (optionally)
equally-spaced set of crossing profiles along which we sample the grid(s)
[Default simply samples the grid(s) at the input locations]. Specify two
length scales that control how the sampling is done: length sets
the full length of each cross-profile, while ds is the sampling
spacing along each cross-profile. Optionally, append
/spacing for an equidistant spacing between cross-profiles
[Default erects cross-profiles at the input coordinates]. By default, all
cross-profiles have the same direction (left to right as we look in the
direction of the input line segment). Append +a to alternate the
direction of cross-profiles, or v to enforce either a
"west-to-east" or "south-to-north" view. Append
suitable units to length; it sets the unit used for ds [and
spacing] (See UNITS below). The default unit for geographic grids
is meter while Cartesian grids implies the user unit. The output columns
will be lon, lat, dist, azimuth, z1,
z2, ..., zn (The zi are the sampled values for each
of the n grids)
- -Ddfile
- In concert with -C we can save the (possibly resampled) original
lines to the file dfile [Default only saves the cross-profiles].
The columns will be lon, lat, dist, azimuth,
z1, z2, ... (sampled value for each grid)
- -Eline[,line,...][+aaz][+d][+iinc[u]][+llength[u]][+nnp][+oaz][+rradius[u]
- Instead of reading input track coordinates, specify profiles via
coordinates and modifiers. The format of each line is
start/stop, where start or stop are either
lon/lat (x/y for Cartesian data) or a
2-character XY key that uses the pstext-style justification format format
to specify a point on the map as [LCR][BMT]. In addition, you can use Z-,
Z+ to mean the global minimum and maximum locations in the grid (only
available if only one grid is given). Instead of two coordinates you can
specify an origin and one of +a, +o, or +r. You may
append +iinc[u] to set the sampling interval; if not
given then we default to half the minimum grid interval. The +a
sets the azimuth of a profile of given length starting at the given
origin, while +o centers the profile on the origin; both require
+l. For circular sampling specify +r to define a circle of
given radius centered on the origin; this option requires either +n
or +i. The +nnp sets the desired number of points,
while +llength gives the total length of the profile. Append
+d to output the along-track distances after the coordinates. Note:
No track file will be read. Also note that only one distance unit can be
chosen. Giving different units will result in an error. If no units are
specified we default to great circle distances in km (if geographic). If
working with geographic data you can prepend - (Flat Earth) or +
(Geodesic) to inc, length, or radius to change the
mode of distance calculation [Great Circle]. Note: If -C is set and
spacing is given the that sampling scheme overrules any modifier in
-E.
- -N
- Do not skip points that fall outside the domain of the grid(s)
[Default only output points within grid domain].
- -Smethod/modifiers
- In conjunction with -C, compute a single stacked profile from all
profiles across each segment. Append how stacking should be computed:
a = mean (average), m = median, p = mode (maximum
likelihood), l = lower, L = lower but only consider positive
values, u = upper, U = upper but only consider negative
values [a]. The modifiers control the output; choose one or
more among these choices: +a : Append stacked values to all
cross-profiles. +d : Append stack deviations to all cross-profiles.
+r : Append data residuals (data - stack) to all cross-profiles.
+s[file] : Save stacked profile to file
[grdtrack_stacked_profile.txt]. +cfact : Compute envelope on
stacked profile as +/- fact *deviation [2]. Notes: (1)
Deviations depend on method and are st.dev (a), L1 scale
(m and p), or half-range (upper-lower)/2. (2) The stacked
profile file contains a leading column plus groups of 4-6 columns, with
one group for each sampled grid. The leading column holds cross distance,
while the first four columns in a group hold stacked value, deviation, min
value, and max value, respectively. If method is one of
a|m|p then we also write the lower and upper
confidence bounds (see +c). When one or more of +a,
+d, and +r are used then we also append the stacking results
to the end of each row, for all cross-profiles. The order is always
stacked value (+a), followed by deviations (+d) and finally
residuals (+r). When more than one grid is sampled this sequence of
1-3 columns is repeated for each grid.
- -T[radius[u]][+e|p]
- To be used with normal grid sampling, and limited to a single, non-IMG
grid. If the nearest node to the input point is NaN, search outwards until
we find the nearest non-NaN node and report that value instead. Optionally
specify a search radius which limits the consideration to points within
this distance from the input point. To report the location of the nearest
node and its distance from the input point, append +e. To instead
replace the input point with the coordinates of the nearest node, append
+p.
- -Z
- Only write out the sampled z-values [Default writes all columns].
- -:
- Toggles between (longitude,latitude) and (latitude,longitude)
input/output. [Default is (longitude,latitude)].
- -^ or just -
- Print a short message about the syntax of the command, then exits (NOTE:
on Windows just use -).
- -+ 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 all
options, then exits.
For map distance unit, append unit d for arc degree,
m for arc minute, and s for arc second, or e for meter
[Default], f for foot, k for km, M for statute mile,
n for nautical mile, and u for US survey foot. By default we
compute such distances using a spherical approximation with great circles.
Prepend - to a distance (or the unit is no distance is given) to
perform "Flat Earth" calculations (quicker but less accurate) or
prepend + to perform exact geodesic calculations (slower but more
accurate).
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, absolute time is under the control of
FORMAT_DATE_OUT and FORMAT_CLOCK_OUT, whereas general floating point values
are formatted according to FORMAT_FLOAT_OUT. Be aware that the format in
effect can lead to loss of precision in ASCII 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.
By default GMT writes out grid as single precision floats in a
COARDS-complaint netCDF file format. However, GMT is able to produce grid
files in many other commonly used grid file formats and also facilitates so
called "packing" of grids, writing out floating point data as 1-
or 2-byte integers. (more ...)
Resample or sampling of grids will use various algorithms (see
-n) that may lead to possible distortions or unexpected results in
the resampled values. One expected effect of resampling with splines is the
tendency for the new resampled values to slightly exceed the global min/max
limits of the original grid. If this is unacceptable, you can impose
clipping of the resampled values values so they do not exceed the input
min/max values by adding +c to your -n option.
If an interpolation point is not on a node of the input grid, then
a NaN at any node in the neighborhood surrounding the point will yield an
interpolated NaN. Bicubic interpolation [default] yields continuous first
derivatives but requires a neighborhood of 4 nodes by 4 nodes. Bilinear
interpolation [-n] uses only a 2 by 2 neighborhood, but yields only
zeroth-order continuity. Use bicubic when smoothness is important. Use
bilinear to minimize the propagation of NaNs, or lower threshold.
To sample the file hawaii_topo.nc along the SEASAT track
track_4.xyg (An ASCII table containing longitude, latitude, and
SEASAT-derived gravity, preceded by one header record):
grdtrack track_4.xyg -Ghawaii_topo.nc -h > track_4.xygt
To sample the Sandwell/Smith IMG format file topo.8.2.img (2
minute predicted bathymetry on a Mercator grid) and the Muller et al age
grid age.3.2.nc along the lon,lat coordinates given in the file
cruise_track.xy, try
grdtrack cruise_track.xy -Gtopo.8.2.img,1,1 -Gage.3.2.nc > depths-age.d
To sample the Sandwell/Smith IMG format file grav.18.1.img (1
minute free-air anomalies on a Mercator grid) along 100-km-long
cross-profiles that are orthogonal to the line segment given in the file
track.xy, erecting cross-profiles every 25 km and sampling the grid every 3
km, try
grdtrack track.xy -Ggrav.18.1.img,0.1,1 -C100k/3/25 -Ar > xprofiles.txt
To sample the grid data.nc along a line from the lower left to the
upper right corner, using a grid spacing of 1 km, and output distances as
well, try
grdtrack -ELB/RT+i1k+d -Gdata.nc > profiles.txt
gmt, gmtconvert, pstext, sample1d, surface
2019, P. Wessel, W. H. F. Smith, R. Scharroo, J. Luis, and F.
Wobbe