To run r.los, the user must specify at least an input map name, output map name, and the geographic coordinates of the user's viewing location; any remaining parameters whose values are unspecified will be set to their default values (see below).
The patt_map is the name of a binary (1/0) raster map layer in which
cells within the areas of interest are assigned the category value '1', and
all other cells are assigned the category value '0' or NULL. If this parameter is
omitted, the analysis will be performed for the whole area within a certain
distance of the viewing point inside the geographic region boundaries.
Default: assign all cells that are within the max_dist and within
the user's current geographic region boundaries a value of 1.
The obs_elev parameter defines the height of the observer (in meters) above the viewing point's elevation.
The max_dist parameter is the maximum distance (in meters) from the viewing point inside of which the line of sight analysis will be performed. The cells outside this distance range are assigned a NULL value.
The time to complete the calculation increases dramatically with the region size. Try to keep the columns and rows under 1000.
It is advisable to use a 'pattern layer' which identifies the areas of interest in which the line of sight analysis is required. Such a measure will reduce the time taken by the program to run.
The curvature of the Earth is not taken into account for these calculations. However, for interest's sake, a handy calculation for distance to the true horizon is approximated by d = sqrt(13*h) where h is the height of the observer in meters (above sea level) and d is the distance to the horizon in km. This may be useful for setting the max_dist value.
g.region raster=elevation.dem -p r.los elevation.dem out=los coord=598869,4916642 obs_elev=50 max_dist=10000 r.colors -e los color=bgyr d.shade shade=aspect color=los bright=10 echo "symbol extra/target 25 598869 4916642 red" | d.graph -m
Last changed: $Date: 2014-12-27 14:30:46 +0100 (Sat, 27 Dec 2014) $
Available at: r.los source code (history)
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