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v.surf.idw(1grass)          GRASS GIS User's Manual         v.surf.idw(1grass)

NAME
       v.surf.idw   - Provides surface interpolation from vector point data by
       Inverse Distance Squared Weighting.

KEYWORDS
       vector, surface, interpolation, IDW

SYNOPSIS
       v.surf.idw
       v.surf.idw --help
       v.surf.idw [-n] input=name  [layer=string]   [column=name]  output=name
       [npoints=count]    [power=float]   [--overwrite]  [--help]  [--verbose]
       [--quiet]  [--ui]

   Flags:
       -n
           Don’t index points by raster cell
           Slower but uses less memory and includes points from outside region
           in the interpolation

       --overwrite
           Allow output files to overwrite existing files

       --help
           Print usage summary

       --verbose
           Verbose module output

       --quiet
           Quiet module output

       --ui
           Force launching GUI dialog

   Parameters:
       input=name [required]
           Name of input vector map
           Or data source for direct OGR access

       layer=string
           Layer number or name
           Vector  features can have category values in different layers. This
           number determines which layer to use. When used with direct OGR ac-
           cess this is the layer name.
           Default: 1

       column=name
           Name of attribute column with values to interpolate
           If  not  given  and input is 2D vector map then category values are
           used. If input is 3D vector map then z-coordinates are used.

       output=name [required]
           Name for output raster map

       npoints=count
           Number of interpolation points
           Default: 12

       power=float
           Power parameter
           Greater values assign greater influence to closer points
           Default: 2.0

DESCRIPTION
       v.surf.idw fills a raster matrix  with  interpolated  values  generated
       from a set of irregularly spaced vector data points using numerical ap-
       proximation (weighted averaging) techniques. The interpolated value  of
       a  cell  is determined by values of nearby data points and the distance
       of the cell from those input points.  In comparison with other methods,
       numerical  approximation allows representation of more complex surfaces
       (particularly those with anomalous features), restricts the spatial in-
       fluence  of any errors, and generates the interpolated surface from the
       data points.

       Values to interpolate are read from column option. If  this  option  is
       not  given than the program uses categories as values to interpolate or
       z-coordinates if the input vector map is 3D.

NOTES
       The amount of memory used by this program is related to the  number  of
       vector  points  in the current region.  If the vector point map is very
       dense (i.e., contains many data points), the program may not be able to
       get all the memory it needs from the system.  The time required to exe-
       cute is related to the resolution of the current region, after an  ini-
       tial delay determined by the time taken to read the input vector points
       map.

       Note that vector features without category in given layer are skipped.

       If the user has a mask set, then interpolation is only done  for  those
       cells  that  fall within the mask. The module has two separate modes of
       operation for selecting the vector points that are used in the interpo-
       lation:

       Simple, non-indexed mode (activated by -n flag)
           When  the -n flag is specified, all vector points in the input vec-
           tor map are searched through in order to find the  npoints  closest
           points  to  the  centre of each cell in the output raster map. This
           mode of operation can be slow in the case of a very large number of
           vector points.

       Default, indexed mode
           By  default (i.e. if -n flag is not specified), prior to the inter-
           polation, input vector points are indexed according to which output
           raster  cell  they fall into. This means that only cells nearby the
           one being interpolated need to be  searched  to  find  the  npoints
           closest  input  points, and the module can run many times faster on
           dense input maps. It should be noted that:

           •   Only vector points that lie within the current region are  used
               in  the  interpolation. If there are points outside the current
               region, this may have an effect on the  interpolated  value  of
               cells  near  the  edges  of the region, and this effect will be
               more pronounced the fewer points there are. If you wish to also
               include  points  outside  the region in the interpolation, then
               either use the -n flag, or set the region to  a  larger  extent
               (covering  all input points) and use a mask to limit interpola-
               tion to a smaller area.

           •   If more than npoints points fall  within  a  given  cell  then,
               rather  than interpolating, these points are aggregated by tak-
               ing the mean. This  avoids  the  situation  where  some  vector
               points  can be discarded and not used in the interpolation, for
               very dense input maps. Again, use the -n flag if  you  wish  to
               use  only  the  npoints closest points to the cell centre under
               all circumstances.

       The power parameter defines an exponential  distance  weight.   Greater
       values assign greater influence to values closer to the point to be in-
       terpolated. The interpolation function peaks  sharply  over  the  given
       data  points for 0 < p < 1 and more smoothly for larger values. The de-
       fault value for the power parameter is 2.

       By setting npoints=1, the  module  can  be  used  to  calculate  raster
       Voronoi diagrams (Thiessen polygons).

SEE ALSO
         g.region,  r.surf.contour,  r.surf.idw, r.surf.gauss, r.surf.fractal,
       r.surf.random, v.surf.rst

       Overview: Interpolation and Resampling in GRASS GIS

AUTHORS
       Michael Shapiro, U.S. Army Construction Engineering Research Laboratory
       Improved algorithm (indexes points according to cell and ignores points
       outside current region) by Paul Kelly

SOURCE CODE
       Available at: v.surf.idw source code (history)

       Accessed: unknown

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       © 2003-2022 GRASS Development Team, GRASS GIS 7.8.7 Reference Manual

GRASS 7.8.7                                                 v.surf.idw(1grass)

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