io.read_EDGE_netcdf:
set an range_lim default value of 200km
avoid errors in case range_lim is greater than the maximum range of the data

io.read_EDGE_netcdf:
included the toctree
added an range limitation asinput argument
rounding of theta0 instead of cuting the decimals
rolling the azimuths instead of sorting
added max_range to the returned attributes

renamed SUB2dBZ to read_EDGE_netcdf and modified and enhanced the function.
It still needs to be clarified whether the data array needs to flipped.

modified project function in georef.py so it can also do inverse projection

minor edit in georef_example.py

added convenience function projected_bincoords_from_radarspecs to documentation
minor edit in projected_bincoords_from_radarspecs (now returns ravelled coordinate
arrays)

added the missing import

added io.SUB2dBZ for reading philipinean s-band radar data

added tutorials and some minor edits

added colormap argument to vis.polar_plot

correctAttenuationHJ in atten.py processes even if the input gateset contains
NaNs; in this case all corresponding k(attenuation)-beams are set to NaN, too;
but the remaining PIA will be calculated;

if this approves, the code for the other to correction functions should also be...

atten.py: moved the NaN-check before first calculations and memory allocations

change in make.bat: deleting source/generated before each built

Fixed bug that occurred if only one point is passed to the IDW Interpolator

removed superfluous calculations
estimated speedup is roughly by a factor of 1.7

removed superfluous call to np.where

added _z2rEnhanced_mdcorr function
same result as z2rEnhanced but roughly 50 times faster.

Removed the trafo.rvp2r function: for clarity such processchains should be
executed in a more basic way e.g. zr.z2r(trafo.idecibel(trafo.rvp2dBZ(x))), in
order to avoid undue code and import errors (caused by endless
cross-referencing).

Fixed a refencing bug when nnearest equals 1 in idw

Added convenience function ipol.interpolate

This function should not only offer a uniform interface for all interpolation classes.
Particularly, it allows to efficiently deal with missing values in the interpolation
source values (i.e. np.nan values) if your input value array contains missing values...

changed warning message