You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
When defining a variogram with latlon=True, I would love to be able to set max_distance directly in gs.vario_estimate() as well as the units for the distance. Then, when plotting the variogram data, I could see semivariance vs distance.
The text was updated successfully, but these errors were encountered:
#308 solves at least the units issue for the CovModel representation, that can now be defined with the new geo_scale attribute of the CovModel. You can choose between KM_SCALE (earth radius in km as reference), DEGREE_SCALE (length scale in degrees) and RADIAN_SCALE (default, length scale in radians). To use other distance units, you could multiply conversion factors to KM_SCALE, like 1000 * KM_SCALE to have a meter scale.
The vario_estimate routine will always use radians for the great circle distance. To have a better plotting, you could multiply the bin centers with one of the scales given above to have another unit for the x-axis.
For the other problem I assume you mean the remaining arguments of the standard_bins routine, namely bin_no and max_dist that could be forwarded by the vario_estimate routine.
This seems like a useful extension. I will take a look.
When defining a variogram with latlon=True, I would love to be able to set max_distance directly in gs.vario_estimate() as well as the units for the distance. Then, when plotting the variogram data, I could see semivariance vs distance.
The text was updated successfully, but these errors were encountered: