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@@ -26,7 +26,7 @@ values that each cell value represents.
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spatial error modeling. A procedure to use <em>r.random.surface</em> in
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spatial error modeling is given in the <b>NOTES</b> section.
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-<h3>Parameters</h3>
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+<h3>Detailed parameter description</h3>
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<dl>
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<dt><b>output</b></dt>
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<dd>Random surface(s). The cell values are a random distribution
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@@ -122,11 +122,9 @@ you find it useful and dependable. The following papers might clarify their
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use:
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<ul>
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-<li><a href="../../CGFinal/paper.htm">Visualizing Spatial Data
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-Uncertainty Using Animation (final draft)</a>, by Charles R.
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-Ehlschlaeger, Ashton M. Shortridge, and Michael F. Goodchild. Submitted to
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-Computers in GeoSciences in September, 1996, accepted October, 1996 for
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-publication in June, 1997.</li>
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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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<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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