## DESCRIPTION

d.vect.thematic draws thematic choropleth vector maps based on an attribute column or an expression involving several columns. It takes a list of class breaks (excluding the minimum and maximum values) and a list of colors to apply to the classes (has to be the number of class breaks + 1).

Instead of a list of class breaks, the user can also chose a classification algorithm and a number of classes (nbclasses). See the v.class for more information on these different algorithms.

## NOTES

The -l flag instructs the module to print legend information in vector legend format as described in d.legend.vect to standard output for further use in graphical software. When combined with the verbose flag, the legend information will be extended with some additional statistical information. If the -n flag is set, the module will only print the legend information without drawing the map.

Option legendfile, is deprecated, instead use the GRASS_LEGEND_FILE environmental variable (see d.legend.vect) to save legend into a file. Flag -e is deprecated, instead use verbose flag.

## EXAMPLES

### Thematic map with classes

    d.vect.thematic -l map=communes3 column=pop \
      breaks=111393.250000,222785.500000,334177.750000 \
      colors="255:0:0,0:255:0,0:0:255,0,0,0"

### Thematic map with calculated class breaks

The following example uses a calculated attribute (`density = pop/area`) and the standard deviation algorithm to calculate class breaks for 5 classes:

    d.vect.thematic -l map=communes2 column=pop/area algorithm=std \
      nbclasses=5 colors="0:0:255,50:100:255,255:100:50,255:0:0,156:0:0"

### Thematic map with legend

Example for the North Carolina sample dataset, colorizing basin polygons by average elevation and displaying school capacity:

    # create watersheds from elevation map
    g.region raster=elevation
    r.watershed elevation=elevation threshold=10000 basin=basins_10k

    # convert raster to vector
    r.to.vect input=basins_10k output=basins_10k type=area column=basin_num

    # upload raster statistics to each polygon in vector map
    v.rast.stats map=basins_10k raster=elevation column_prefix=elev

    # open a graphical display
    d.mon wx0

    # draw thematic polygons and specify legend title
    d.vect.thematic map=basins_10k column=elev_average algorithm=int \
      nclasses=5 colors=0:195:176,39:255:0,251:253:0,242:127:11,193:126:60 \
      legend_title="Average elevation (m)"

    # draw thematic points and specify legend title
    d.vect.thematic map=schools_wake@PERMANENT column=CORECAPACI algorithm=std \
      nclasses=3 colors=149:203:255,45:143:240,0:81:161 icon=basic/circle size=15 \
      legend_title="School capacity"

    # and finally draw legend
    d.legend.vect -b at=2,80 font=Sans symbol_size=25

Thematic map of average elevation and school capacity

## SEE ALSO

v.class, d.legend.vect, d.vect, d.graph, v.univar

Check also Python module from AddOns: d.vect.thematic2

## AUTHOR

Moritz Lennert

Last changed: $Date: 2017-11-11 19:59:24 +0100 (Sat, 11 Nov 2017) $