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@@ -38,8 +38,20 @@ using <em>r.2Dcorrelogram</em> with
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zero, the <b>output</b> map will number each non-masked cell from 1 to the
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number of non-masked cells in the study region. -->
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+<h2>EXAMPLE</h2>
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+
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+North Carolina sample dataset example:
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+
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+<div class="code"><pre>
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+g.region n=228500 s=215000 w=630000 e=645000 res=100 -p
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+r.random.cells output=random_500m distance=500
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+
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+# optionally set 0 to NULL
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+r.null random_500m setnull=0
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+</pre></div>
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+
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<h2>REFERENCES</h2>
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-Random Field Software for GRASS by Chuck Ehlschlaeger
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+Random Field Software for GRASS GIS by Chuck Ehlschlaeger
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<p> As part of my dissertation, I put together several programs that help
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GRASS (4.1 and beyond) develop uncertainty models of spatial data. I hope
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@@ -49,7 +61,7 @@ use:
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<ul>
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<li> Ehlschlaeger, C.R., Shortridge, A.M., Goodchild, M.F., 1997.
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Visualizing spatial data uncertainty using animation.
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- Computers & Geosciences 23, 387-395. doi:10.1016/S0098-3004(97)00005-8</li>
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+ Computers & Geosciences 23, 387-395. doi:10.1016/S0098-3004(97)00005-8</li>
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<li><a href="http://www.geo.hunter.cuny.edu/~chuck/paper.html">Modeling
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Uncertainty in Elevation Data for Geographical Analysis</a>, by
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Markus Neteler