The station weighting function is hardwired to an inverse cubic. This may exclude (by downweighting) too many stations in some case, thus having the exponent be data-responsive or user controlled may be beneficial. The flexible gaussian-esque form may be sufficient without changing further. Along with the user specified max distance, this is effectively the same weighting fcn as in Werner et al (2004), with alpha & lambda params.
The current 'USE_STATION_WEIGHTING' could be generalized/eliminated with this option, since specifying an exponent of 0 means there is no station weighting; an exponent of 1 means it is linear with distance.
The station weighting function is hardwired to an inverse cubic. This may exclude (by downweighting) too many stations in some case, thus having the exponent be data-responsive or user controlled may be beneficial. The flexible gaussian-esque form may be sufficient without changing further. Along with the user specified max distance, this is effectively the same weighting fcn as in Werner et al (2004), with alpha & lambda params.
The current 'USE_STATION_WEIGHTING' could be generalized/eliminated with this option, since specifying an exponent of 0 means there is no station weighting; an exponent of 1 means it is linear with distance.