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NAME

r.skyline - Compute the skyline index and / or find the horizon cells in a raster viewshed.

KEYWORDS

raster, viewshed, horizon, skyline

SYNOPSIS

r.skyline --help

DESCRIPTION

r.skyline takes a viewshed map as input and analyses the horizon. It has two main functions:

1. Given 2 viewshed maps containing inclination values it can determine whether the original viewpoint appears below, on, or above the horizon when viewed from each cell that falls in the viewshed (see below for important information about how the viewsheds should be calculated in order to support this function);
2. More generally, given any single viewshed map in which cells are coded either NULL (not visible from the viewpoint) or non-NULL (visible) it identifies cells that fall on 'near' or 'far' horizons (see edges), and determines which of those cells may not truly fall on the real horizon because they are on the edge of the computational region or fall at the maximum viewing distance specified when creating the original viewshed.

r.skyline can output up to 5 raster maps and 1 plain text CSV file, as described here.

The skyline_index map records, for each cell in the viewshed, the difference between the inclination of the line-of-sight from that cell back towards the viewpoint and the inclination of the line-of-sight from the viewpoint towards the point on the horizon opposite the cell in question. If this skyline index is positive, then the viewpoint would appear to be raised above the skyline, whereas if it is negative then it would appear below the skyline. This option requires two input viewshed maps, viewshed and viewshed2, which must both record inclination values (the default output from r.viewshed and the only ouput from the older r.los). Note that the validity of the skyline index depends upon the user setting appropriate observer (viewpoint) and target offsets when creating the input viewsheds - see NOTES for important information about how to use this function.

The hoz_azimuth map identifies the cells that fall on the horizon and records the azimuth at which they appear from the viewpoint. The horizon depicted on this map may include cells that occur at the maximum viewing distance from the viewpoint and/or at the edge of the current region. Since such cells may not really represent the point beyond which no more land is visible it may be prudent, depending on the purpose of the analysis, to generate a hoz_type map.

The hoz_inclination map identifies the cells that fall on the horizon and records additional data derived from the input viewshed map. If that map was computed with r.viewshed then the hoz_inclination map will record either the inclination (r.viewshed default), simply '1' meaning that the cell was visible (r.viewshed -b flag), or the elevation difference between the viewpoint and horizon cell (r.viewshed -e flag). If the input viewshed map was computed with the olderr.los then the hoz_inclination map will record the inclination at which the horizon cells appear from the viewpoint. Note that in all cases the horizon depicted on this map may include cells that occur at the maximum viewing distance from the viewpoint and/or at the edge of the current region. Since such cells may not really represent the point beyond which no more land is visible it may be prudent, depending on the purpose of the analysis, to generate a hoz_type map.

The hoz_type map records the kind of horizon represented by each horizon cell. This distinguishes horizon cells as follows:

• 1 = cell falls on true far horizon;
• 2 = cell falls at maximum viewing distance;
• 3 = cell falls at edge of current region.
• NULL = cell does not fall on the horizon (or falls on the original viewpoint).

Note that type 1 horizon cells might not really fall on the true horizon if increasing the maximum viewing distance used when calculating the viewshed would also increase the viewshed size. Type 2 and 3 horizon cells might or might not fall on the true horizon - there is no way for this module to determine that.

The edges map records all viewshed edges, which may be of interest when the viewshed in not contiguous (i.e. there is more than one 'patch' of visible land). In this case a marked cell may represent one of the following: the point at which land becomes visible; the point at which land becomes temporarily invisible before becoming visible again; the point beyond which no more land is visible. We refer to case 2 as a 'near horizon' and case 3 as a 'far horizon'. The hoz_azimuth, hoz_type and hoz_inclination maps, and the profile only record 'far horizon' cells. The edges map uses the same coding scheme as the hoz_type map.

The plain text CSV file profile records various properties of the 'far' horizon cells. This is sorted by increasing azimuth, so is useful for plotting horizon profiles clockwise from North.

NOTES

In order to use r.skyline it is necessary to know the coordinates of the viewpoint and the maximum viewing distance specified when computing the input viewshed(s). coordinate and max_dist should be set to these values.

It is important to understand that the validity of the skyline index requires careful consideration of the observer (viewpoint) and target offsets used to create the two input viewshed maps. r.skyline supports the use of 2 different viewshed maps to ensure that the correct inclination values are used for the horizon and line-of-sight back towards the 'viewpoint'. The following example explains how these may be used. Suppose you wish to calculate the skyline index for all locations in the landscape from which a 3m high building is visible, in other words whether the top of that building appears above, on or below the horizon behind it. There are three steps:

1. Compute the viewshed that will be used to calculate the inclination of the line-of-site to the horizon from the top of the building (viewshed). This would be achieved by treating the building as the viewpoint and setting the viewpoint offset (height above the ground of the viewing position) to the height of the building (3m) and the target offset (height above the ground of whatever the viewer is looking at) to zero.
2. Compute the viewshed that will be used to calculate the inclination of the line-of-sight towards the building from all locations from which it can be seen (viewshed2). This would be achieved by swapping appropriate viewpoint and target offsets to ensure that the visibility module computes the correct line-of-sight, so in this case we would set the viewpoint offset to the height of the building (3m) and the target offset to the height of a person looking at the building (say 1.75m).
3. Finally, use r.skyline to compute the skyline index by specifying viewshed and viewshed2 as the input viewsheds. Be sure also to set coordinate and max_dist to the values that were used to generate the two input viewsheds.

The code does not deal with Lat/Long databases.

The module only runs when the current region has integer resolution (since the algorithm is not robust in cases where resolution is non-integer).

REFERENCES

• Harris, B. and Lake, M. (in prep.) The influence of visibility on the territorial packing of Neolithic long barrows in central southern England. For submission to Journal of Archaeological Method and Theory.

SEE ALSO

r.bearing.distance, r.los, r.viewshed.

AUTHOR

Mark Lake, UCL Institute of Archaeology, University College London, UK (the author).

ACKNOWLEDGEMENTS

Uses mergesort algorithm from R. Sedgewick, 1990, Algorithms in C, Reading, MA: Addison Wesley.

The skyline index emerged out of conversations with Barney Harris, UCL Institute of Archaeology, University College London, UK.

SOURCE CODE

Available at: r.skyline source code (history)

Latest change: Monday Jun 28 07:54:09 2021 in commit: 1cfc0af029a35a5d6c7dae5ca7204d0eb85dbc55

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