GRDVIEW(1gmt) | GMT | GRDVIEW(1gmt) |
grdview - Create 3-D perspective image or surface mesh from a grid
grdview relief_file -Jparameters [ -B[p|s]parameters ] [ -C[cpt]] [ -Gdrapefile | -Ggrd_r -Ggrd_g -Ggrd_b ] [ -I[intensfile|intensity|modifiers] ] [ -Jz|Zparameters ] [ -K ] [ -Nlevel[+gfill] ] [ -O ] [ -P ] [ -Qargs[+m] ] [ -Rwest/east/south/north[/zmin/zmax][+r] ] [ -Ssmooth ] [ -T[s][o[pen]] ] [ -U[stamp] ] [ -Wc|m|fpen ] [ -Xx_offset ] [ -Yy_offset ] [ -fflags ] [ -nflags ] [ -pflags ] [ -ttransp ]
Note: No space is allowed between the option flag and the associated arguments.
grdview reads a 2-D grid file and produces a 3-D perspective plot by drawing a mesh, painting a colored/grayshaded surface made up of polygons, or by scanline conversion of these polygons to a raster image. Options include draping a data set on top of a surface, plotting of contours on top of the surface, and apply artificial illumination based on intensities provided in a separate grid file.
For perspective view p, optionally append /zmin/zmax. (more ...) This option may be used to indicate the range used for the 3-D axes [Default is region given by the relief_file]. You may ask for a larger w/e/s/n region to have more room between the image and the axes. A smaller region than specified in the relief_file will result in a subset of the grid.
-Wc|m|fpen
-X[a|c|f|r][x-shift[u]]
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 ...)
Except for Cartesian cases, we need to resample your geographic grid onto an equidistant projected grid. In doing so various algorithms come into play that projects data from one lattice to another while avoiding anti-aliasing, leading to possible distortions. One expected effect of resampling with splines is the tendency for the new resampled grid to slightly exceed the global min/max limits of the original grid. If this is coupled with tight CPT limits you may find that some map areas may show up with fore- or background color due to the resampling. In that case you have two options: (1) Modify your CPT to fit the resampled extrema (reported with -V) or (2) Impose clipping of resampled values so they do not exceed the input min/max values (add +c to your -n option).
To make a mesh plot from the file hawaii_grav.nc and drawing the contours given in the CPT hawaii.cpt on a Lambert map at 1.5 cm/degree along the standard parallels 18 and 24, with vertical scale 20 mgal/cm, and looking at the surface from SW at 30 degree elevation, run
gmt grdview hawaii_grav.nc -Jl18/24/1.5c -Chawaii.cpt \
-Jz0.05c -Qm -N-100 -p225/30 -Wc > hawaii_grav_image.ps
To create a illuminated color perspective plot of the gridded data set image.nc, using the CPT color.rgb, with linear scaling at 10 cm/x-unit and tickmarks every 5 units, with intensities provided by the file intens.nc, and looking from the SE, use
gmt grdview image.nc -Jx10.0c -Ccolor.rgb -Qs -p135/30 -Iintens.nc > image3D.ps
To make the same plot using the rastering option with dpi = 50, use
gmt grdview image.nc -Jx10.0c -Ccolor.rgb -Qi50 -p135/30 -Iintens.nc > image3D.ps
To create a color PostScript perspective plot of the gridded data set magnetics.nc, using the CPT mag_intens.cpt, draped over the relief given by the file topography.nc, with Mercator map width of 6 inch and tickmarks every 1 degree, with intensities provided by the file topo_intens.nc, and looking from the SE, run
gmt grdview topography.nc -JM6i -Gmagnetics.nc -Cmag_intens.cpt \
-Qs -p140/30 -Itopo_intens.nc > draped3D.ps
Given topo.nc and the Landsat image veggies.ras, first run grd2rgb to get the red, green, and blue grids, and then drape this image over the topography and shade the result for good measure. The commands are
gmt grd2rgb veggies.ras -Glayer_%c.nc gmt grdview topo.nc -JM6i -Qi -p140/30 -Itopo_intens.nc \
-Glayer_r.nc -Glayer_g.nc -Glayer_b.nc > image.ps
For the -Qs option: PostScript provides no way of smoothly varying colors within a polygon, so colors can only vary from polygon to polygon. To obtain smooth images this way you may resample the grid file(s) using grdsample or use a finer grid size when running gridding programs like surface or nearneighbor. Unfortunately, this produces huge PostScript files. The alternative is to use the -Qi option, which computes bilinear or bicubic continuous color variations within polygons by using scanline conversion to image the polygons.
gmt, grd2rgb, gmtcolors, grdcontour, grdimage, grdsample, nearneighbor, psbasemap, pscontour, pstext, surface
2019, P. Wessel, W. H. F. Smith, R. Scharroo, J. Luis, and F. Wobbe
May 21, 2019 | 5.4.5 |