distance Input value(s) [default 0.0]: distance determines the minimum distance the centers of the random cells will be apart.
seed Input value [default: random]: Specifies the random seed that r.random.cells will use to generate the cells. If the random seed is not given, r.random.cells will get a seed from the process ID number.
As part of my dissertation, I put together several programs that help GRASS (4.1 and beyond) develop uncertainty models of spatial data. I hope you find it useful and dependable. The following papers might clarify their use:
"Visualizing Spatial Data Uncertainty Using Animation (final draft)," by Charles R. Ehlschlaeger, Ashton M. Shortridge, and Michael F. Goodchild. Submitted to Computers in GeoSciences in September, 1996, accepted October, 1996 for publication in June, 1997.
"Modeling Uncertainty in Elevation Data for Geographical Analysis", by Charles R. Ehlschlaeger, and Ashton M. Shortridge. Proceedings of the 7th International Symposium on Spatial Data Handling, Delft, Netherlands, August 1996.
"Dealing with Uncertainty in Categorical Coverage Maps: Defining, Visualizing, and Managing Data Errors", by Charles Ehlschlaeger and Michael Goodchild. Proceedings, Workshop on Geographic Information Systems at the Conference on Information and Knowledge Management, Gaithersburg MD, 1994.
"Uncertainty in Spatial Data: Defining, Visualizing, and Managing Data Errors", by Charles Ehlschlaeger and Michael Goodchild. Proceedings, GIS/LIS'94, pp. 246-253, Phoenix AZ, 1994.
Charles Ehlschlaeger; National Center for Geographic Information and Analysis, University of California, Santa Barbara.
Last changed: $Date: 2006-04-20 14:31:24 -0700 (Thu, 20 Apr 2006) $
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