Provided by: gmt-common_5.2.1+dfsg-3build1_all bug

NAME

       grdtrend - Fit trend surface to grids and compute residuals

SYNOPSIS

       grdtrend grdfile n_model[r] [ diff.nc ] [ region ] [ trend.nc ] [ weight.nc ]

       Note: No space is allowed between the option flag and the associated arguments.

DESCRIPTION

       grdtrend  reads  a  2-D  grid  file  and  fits  a low-order polynomial trend to these data by [optionally
       weighted] least-squares. The trend surface is defined by:
          m1 + m2*x + m3*y + m4*x*y + m5*x*x + m6*y*y + m7*x*x*x + m8*x*x*y + m9*x*y*y + m10*y*y*y.

       The user must specify -Nn_model, the number of model parameters to use; thus, -N3 fits a bilinear  trend,
       -N6  a  quadratic  surface,  and so on. Optionally, append r to the -N option to perform a robust fit. In
       this case, the program will iteratively reweight the data based on a robust scale estimate, in  order  to
       converge to a solution insensitive to outliers. This may be handy when separating a "regional" field from
       a "residual" which should have non-zero mean, such as a local mountain on a regional surface.

       If  data  file  has values set to NaN, these will be ignored during fitting; if output files are written,
       these will also have NaN in the same locations.

REQUIRED ARGUMENTS

       grdfile
              The name of a 2-D binary grid file.

       -Nn_model[r]
              n_model sets the number of model parameters to fit.  Append r for robust fit.

OPTIONAL ARGUMENTS

       -Ddiff.nc
              Write the difference (input data - trend) to the file diff.nc.

       -R[unit]xmin/xmax/ymin/ymax[r] (more ...)
              Specify the region of interest. Using the -R option will select a subsection of the input grid. If
              this subsection exceeds the boundaries of the grid, only the common region will be extracted.

       -Ttrend.nc
              Write the fitted trend to the file trend.nc.

       -V[level] (more ...)
              Select verbosity level [c].

       -Wweight.nc
              If weight.nc exists, it will be read and used to solve a weighted least-squares problem. [Default:
              Ordinary least-squares fit.] If the robust option has been  selected,  the  weights  used  in  the
              robust fit will be written to weight.nc.

       -^ 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 exits.

       --version
              Print GMT version and exit.

       --show-datadir
              Print full path to GMT share directory and exit.

REMARKS

       The domain of x and y will be shifted and scaled to [-1, 1]  and  the  basis  functions  are  built  from
       Legendre  polynomials.  These have a numerical advantage in the form of the matrix which must be inverted
       and allow more accurate solutions. NOTE: The model parameters listed  with  -V  are  Legendre  polynomial
       coefficients;  they  are  not  numerically  equivalent  to  the  m#s in the equation described above. The
       description above is to allow the user to match -N with the order of the polynomial surface. See  grdmath
       if you need to evaluate the trend using the reported coefficients.

GRID FILE FORMATS

       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. To
       specify the precision, scale and offset, the user should add the suffix  =id[/scale/offset[/nan]],  where
       id  is  a  two-letter  identifier of the grid type and precision, and scale and offset are optional scale
       factor and offset to be applied to all grid values, and nan is the value used to indicate  missing  data.
       In  case  the  two  characters  id  is not provided, as in =/scale than a id=nf is assumed.  When reading
       grids, the format is generally automatically recognized. If not, the same suffix can be  added  to  input
       grid  file names. See grdconvert and Section grid-file-format of the GMT Technical Reference and Cookbook
       for more information.

       When reading a netCDF  file  that  contains  multiple  grids,  GMT  will  read,  by  default,  the  first
       2-dimensional  grid  that  can  find  in  that  file.  To coax GMT into reading another multi-dimensional
       variable in the grid file, append ?varname to the file name, where varname is the name of  the  variable.
       Note that you may need to escape the special meaning of ? in your shell program by putting a backslash in
       front  of  it, or by placing the filename and suffix between quotes or double quotes. The ?varname suffix
       can also be used for output grids to specify a  variable  name  different  from  the  default:  "z".  See
       grdconvert and Sections modifiers-for-CF and grid-file-format of the GMT Technical Reference and Cookbook
       for more information, particularly on how to read splices of 3-, 4-, or 5-dimensional grids.

EXAMPLES

       To remove a planar trend from hawaii_topo.nc and write result in hawaii_residual.nc:

              gmt grdtrend hawaii_topo.nc -N3 -Dhawaii_residual.nc

       To  do a robust fit of a bicubic surface to hawaii_topo.nc, writing the result in hawaii_trend.nc and the
       weights used in hawaii_weight.nc, and reporting the progress:

              gmt grdtrend hawaii_topo.nc -N10r -Thawaii_trend.nc -Whawaii_weight.nc -V

SEE ALSO

       gmt, grdfft, grdfilter, grdmath

COPYRIGHT

       2015, P. Wessel, W. H. F. Smith, R. Scharroo, J. Luis, and F. Wobbe

5.2.1                                           January 28, 2016                                  GRDTREND(1gmt)