The "Number of basis functions" governs the number of basis functions used for the approximation of the surface, so called approximate thin-plate-splines (see e.g. doi:10.1007/3-540-47977-5_2 or doi:10.1111/1467-9868.00374 for further information).
A higher number delivers more exact results and enables the estimation of more complex 2-D surfaces, but uses much more computational power. In general, there is little gain from very high numbers and there is no additional gain from selecting a higher number than there are unique combinations of longitude and latitude.
1. Start Simple
2. Data Complexity
3. Sample Size Consideration
4. Avoid Overfitting
Example Guidelines
Summary
Begin with a small number of basis functions, and increase incrementally to find the optimal number that balances model complexity and performance. The exact number will depend on the nature of your data and the specific application.
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