Description Usage Arguments Value See Also Examples
Returns angles provided by GCPs/TPs as a SpatialPointsDataFrame
object.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | angles(object, z = "thetaIn", interpolate = F, variogram.fit = T,
plot.fit = F, aggregate = T, aggregate.fact = 1000, ...)
## S4 method for signature 'GeolocationPoints'
angles(object, z = "thetaIn", interpolate = F,
variogram.fit = T, plot.fit = F, aggregate = T, aggregate.fact = 1000,
...)
## S4 method for signature 'SAR'
angles(object, z = "thetaIn", interpolate = F,
variogram.fit = T, plot.fit = F, aggregate = T, aggregate.fact = 1000,
...)
## S4 method for signature 'SARSet'
angles(object, z = "thetaIn", interpolate = F,
variogram.fit = T, plot.fit = F, aggregate = T, aggregate.fact = 1000,
...)
|
object |
Object of the |
z |
Character. either incidence ('thetaIn', default) or elevation angles 'thetaEl'. |
interpolate |
Logical. Interpolate angles? |
variogram.fit |
Logical. Fit a Gaussian variogram? |
plot.fit |
Logical. Plot the fitted variogram? |
aggregate |
Logical. Should the raster be aggregated? If no aggregation is done the interpolation might take a very long time. |
aggregate.fact |
Integer. Aggregation factor expressed as number of cells in each direction (horizontally and vertically).
Or two integers (horizontal and vertical aggregation factor) or three integers (when also aggregating over layers).
See |
... |
Further arguments (ignored). |
SpatialPointsDataFrame
plotAngles
, GeolocationPoints-class
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | data(kili)
angles(kili[[1]])
plotAngles(kili[[1]])
plotAngles(kili[[5]])
plot(angles(kili[[1]]))
spplot(angles(kili[[1]]))
plotAngles(master, interpolate = TRUE, aggregate.fact=100)
angles.sp <- angles(master, interpolate = TRUE, aggregate.fact=10)
angles.raster <- rasterFromXYZ(angles.sp)
plot(angles.raster)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.