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NAME

       r.reclass   -  Creates  a  new  map  layer whose category values are based upon a reclassification of the
       categories in an existing raster map layer.

KEYWORDS

       raster, statistics, reclass

SYNOPSIS

       r.reclass
       r.reclass help
       r.reclass input=name output=name  [rules=name]   [title=string]   [--overwrite]  [--verbose]  [--quiet]

   Flags:
       --overwrite
           Allow output files to overwrite existing files

       --verbose
           Verbose module output

       --quiet
           Quiet module output

   Parameters:
       input=name
           Raster map to be reclassified

       output=name
           Name for output raster map

       rules=name
           File containing reclass rules

       title=string
           Title for the resulting raster map

DESCRIPTION

       r.reclass creates an output map layer based on an input integer raster map layer.  The output  map  layer
       will  be  a reclassification of the input map layer based on reclass rules input to r.reclass, and can be
       treated in much the same way that raster maps are treated.  A TITLE for  the  output  map  layer  may  be
       (optionally) specified by the user.

       The reclass rules are read from standard input (i.e., from the keyboard, redirected from a file, or piped
       through another program).

       Before using r.reclass the user must know the following:

       1      The new categories desired;  and, which old categories fit into which new categories.

       2      The names of the new categories.

NOTES

       In  fact,  the  r.reclass  program  does not generate any new raster map layers (in the interests of disk
       space conservation).  Instead, a reclass table is stored which will be used to  reclassify  the  original
       raster  map  layer  each  time  the  new  (reclassed)  map  name  is  requested.  As far as the user (and
       programmer) is concerned, that raster map has been created.

       r.reclass only works on an integer input raster map; if the input map is instead floating point data, you
       must multiply the input data by some factor to acheive whole number input data, otherwise r.reclass  will
       round the raster values down to the next integer.

       Also  note  that  although the user can generate a r.reclass map which is based on another r.reclass map,
       the new r.reclass map map will be stored in GRASS as a reclass of the original raster map  on  which  the
       first  reclassed  map  was  based.  Therefore, while GRASS allows the user to provide r.reclass map layer
       information which is based on an already reclassified map (for the user's convenience), no r.reclass  map
       layer (i.e., reclass table) will ever be stored as a r.reclass of a r.reclass.

       To  convert a reclass map to a regular raster map layer, set your geographic region settings to match the
       settings in the header for the reclass map (with "g.region  rast=reclass_map",  or  viewable  by  running
       r.info) and then run r.resample.

       r.mapcalc can be used to convert a reclass map to a regular raster map layer as well:
         r.mapcalc "raster_map = reclass_map"

       where  raster_map  is  the name to be given to the new raster map, and reclass_map is an existing reclass
       map.

       Because r.reclass generates a table referencing some original raster map layer  rather  than  creating  a
       reclassed raster map layer, a r.reclass map layer will no longer be accessible if the original raster map
       layer upon which it was based is later removed.

       A  r.reclass  map is not a true raster map layer.  Rather, it is a table of reclassification values which
       reference the input raster map layer.  Therefore, users who wish to retain reclassified map  layers  must
       also save the original input raster map layers from which they were generated. Alternatively r.recode can
       be used.

       Category  values which are not explicitly reclassified to a new value by the user will be reclassified to
       NULL.

   Reclass Rules
       Each line of input must have the following format:
       input_categories=output_category  [label]

       where each line of input specifies the category values in the input raster map layer to  be  reclassified
       to the new output_category category value.  Specification of a label to be associated with the new output
       map  layer category is optional.  If specified, it is recorded as the category label for the new category
       value.  The equal sign = is required.  The input_category(ies) may consist of single category values or a
       range of such values in the format "low thru high." The word "thru" must be present.

       To include all (remaining) values the asterix "*" can be used. This rule has to be set as last  rule.  No
       further  rules  are  accepted  after  setting  this  rule.  The  special  rule "* = *" specifies that all
       categories not expicitly set by one of the above rules should be  passed  through  unaltered  instead  of
       being set to NULL.

       Categories to become no data are specified by setting the output category value to "NULL".

       A line containing only the word end terminates the input.

EXAMPLES

       The following examples may help clarify the reclass rules.

              1.  This  example  reclassifies  categories  1,  2  and 3 in the input raster map layer "roads" to
              category 1 with category label "good quality" in the output  map  layer,  and  reclassifies  input
              raster  map layer categories 4 and 5 to category 2 with the label "poor quality" in the output map
              layer.
                  1 2 3   = 1    good quality
                  4 5     = 2    poor quality

       2. This example reclassifies categories 1, 3 and 5 in the input raster  map  layer  to  category  1  with
       category label "poor quality" in the output map layer, and reclassifies input raster map layer categories
       2,  4,  and  6 to category 2 with the label "good quality" in the output map layer.  All other values are
       reclassified to NULL.
           1 3 5   = 1    poor quality
           2 4 6   = 2    good quality
           *       = NULL

       3. This example reclassifies input raster map layer categories 1 thru 10 to output map layer category  1,
       input  map  layer categories 11 thru 20 to output map layer category 2, and input map layer categories 21
       thru 30 to output map layer category 3, all without labels. The range from 30 to 40  is  reclassified  as
       NULL.
            1 thru 10 = 1
           11 thru 20     = 2
           21 thru 30     = 3
           30 thru 40  = NULL

       4.  Subsequent rules override previous rules.  Therefore, the below example reclassifies input raster map
       layer categories 1 thru 19 and 51 thru 100 to category 1 in the output map layer, input raster map  layer
       categories  20  thru  24  and  26  thru 50 to the output map layer category 2, and input raster map layer
       category 25 to the output category 3.
            1 thru 100     = 1    poor quality
           20 thru 50     = 2    medium quality
           25           = 3    good quality

       5. The previous example could also have been entered as:
            1 thru 19  51 thru 100   = 1    poor quality
           20 thru 24  26 thru 50   = 2    medium quality
           25                  = 3    good quality
        or as:
            1 thru 19  = 1    poor quality
           51 thru 100     = 1
           20 thru 24      = 2
           26 thru 50      = 2    medium quality
           25         = 3    good quality

       The final example was given to show how the labels are handled.  If a new category value appears in  more
       than  one  rule  (as  is  the  case with new category values 1 and 2), the last label which was specified
       becomes the label for that category.  In this case the labels are assigned exactly as in the two previous
       examples.

SEE ALSO

       r.resample, r.rescale, r.recode

AUTHORS

       James Westervelt,
       Michael Shapiro
       U.S.Army Construction Engineering Research Laboratory

       Last changed: $Date: 2009-09-19 08:10:59 -0700 (Sat, 19 Sep 2009) $

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GRASS 6.4.3                                                                                    r.reclass(1grass)