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<h2>DESCRIPTION</h2>
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-<p><em><b>d.vect.thematic</b></em> - Creates thematic maps from vectors of
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- all types and numeric attributes (stored in the data table connected to a vector
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- map). Thematic maps can be displayed by either a graduated color scheme (for
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- all vector types), as graduated icon sizes (for point and centroid types), or
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-graduated line widths (for lines and boundaries with associated
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-attributes).
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- The user selects the vector map to be mapped and attribute column from which
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- to derive mapping intervals, and (optionally) the layer for attribute data. </p>
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+<em>d.vect.thematic</em> - Creates thematic maps from vectors of
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+all types and numeric attributes (stored in the data table connected to a vector
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+map). Thematic maps can be displayed by either a graduated color scheme (for
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+all vector types), as graduated icon sizes (for point and centroid types), or
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+graduated line widths (for lines and boundaries with associated attributes).
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+The user selects the vector map to be mapped and attribute column from which
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+to derive mapping intervals, and (optionally) the layer for attribute data.
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<p>In thematic maps, the color or point size changes for each range of attribute
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- values. Value ranges for thematic mapping can be
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- set at regular intervals, standard deviation units on either
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- side of the mean, quartiles, or delimited by user-defined breakpoints. User-defined
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- breakpoints also can be entered, or piped into d.vect.thematic from standard input or
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- other external source. </p>
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+values. Value ranges for thematic mapping can be
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+set at regular intervals, standard deviation units on either
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+side of the mean, quartiles, or delimited by user-defined breakpoints.
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+User-defined breakpoints also can be entered, or piped into d.vect.thematic
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+from standard input or other external source.
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<p>There are options to define the color scheme (graduated
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- colors) and range of point sizes (graduated points) for thematic maps. A
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- simple text legend is printed. Optionally, a graphic legend can be drawn in
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- the selected display monitor. Thematic colors can be uploaded to a GRASSRGB
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- column for later display, and thematic map display commands can
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- be saved to a group file (*.dm) that can be opened, edited, and displayed in
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-the GIS Manager.</p>
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+colors) and range of point sizes (graduated points) for thematic maps. A
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+simple text legend is printed. Optionally, a graphic legend can be drawn in
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+the selected display monitor. Thematic colors can be uploaded to a GRASSRGB
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+column for later display, and thematic map display commands can be saved to a
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+group file (*.dm) that can be opened, edited, and displayed in
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+the GIS Manager.
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-<p>When the psmap option is set to 'name', two psmap instruction files are created (in the current directory if no path is given), one for the map ('name.psmap') and one for the legend ('name_legend.psmap'). The map file also contains 'label' commands which allow to create a legend directly in the map by adding a 'vlegend' command. See the <em><a href="ps.map">ps.map</a></em> man page for more details.</p>
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+<p>When the psmap option is set to 'name', two psmap instruction files are
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+created (in the current directory if no path is given), one for the map
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+('name.psmap') and one for the legend ('name_legend.psmap'). The map file also
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+contains 'label' commands which allow to create a legend directly in the map by
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+adding a 'vlegend' command. See the <em><a href="ps.map">ps.map</a></em> man
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+page for more details.
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-<p><em>(GRASS Shell Script)</em></p>
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-<h2>ATTENTION</h2>
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+<h2>NOTES</h2>
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-
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-The algorithm currently uses the script <em><a href="v.univar.sh.html">v.univar.sh</a></em>
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-to calculate basic descriptive statistics needed for thematic mapping (minimum,
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-maximum, mean, standard deviation, and quartiles).
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+The algorithm currently uses the <em>v.univar</em> to calculate basic
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+descriptive statistics needed for thematic mapping (minimum, maximum, mean,
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+standard deviation, and quartiles).
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<h2>EXAMPLES</h2>
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@@ -68,21 +70,29 @@ v.sample in=random col=el10 rast=elevation.dem out=elev_sample
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v.db.select elev_sample
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# thematic map:
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-d.mon x0
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+d.mon wx0
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d.vect.thematic -l elev_sample column=diff type=point
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</pre></div>
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+<p>
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+North Carolina data set example:
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+<div class="code"><pre>
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+g.region vect=nc_state
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+d.vect.thematic -l precip_30ynormals column=annual type=point
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+</pre></div>
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+
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<h2>SEE ALSO</h2>
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<em>
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<a href="d.vect.html">d.vect</a>,
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<a href="d.vect.chart.html">d.vect.chart</a>,
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-<a href="v.univar.sh.html">v.univar.sh</a></em>
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+<a href="v.univar.html">v.univar</a>
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+</em>
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<h2>AUTHORS</h2>
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- Michael Barton, Arizona State University, Daniel Cavelo Aros,
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- Martin Landa, and Jachym Cepicky.
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+Michael Barton, Arizona State University, Daniel Cavelo Aros,
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+Martin Landa, and Jachym Cepicky.
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-<p><i>Last changed: $Date$</i></p>
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+<p><i>Last changed: $Date: 2008-08-15 08:16:42 +0200 (Fri, 15 Aug 2008)$</i>
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Markus Neteler