Dear list

For those interested, we have just uploaded our new GWmodel R package to
CRAN, which consists of a range of geographicaly weighted (GW) models

Currently, the main features of GWmodel are:

1. Basic & robust GW summary statistics;

2. Basic & robust GW principal components analysis;

3. Basic & robust GW regression;

4. GW regression with a local ridge term (for local problems);

5. GW generalised linear models;

6. Much flexibility with respect to distance metric choice, kernel choice
and bandwidth selection for all of the above models

More GW models, such as GW discriminant analysis and GW variograms are
currently being incorporated...

Anyway, any queries, bugs/errors, suggestions etc, please direct them to me

Best regards

Binbin Lu

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