IDW-Based Spatiotemporal Interpolation
This is a project done by Akhil Kumar and Rohit Imandi from Bennett University.
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This is a project to interpolate urban pollution data in both space and time. The corresponding theory has been mentioned in the link below. Random and manually generated pollution data points were chosen to test the code.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4997435/
Remark - This code has not been tested on any original urban pollution data set due to its unavailability. Please email me or comment below in case an urban pollution data set with proper space-time co-ordinates and pollution values is found.
Citation pour cette source
Rohit Imandi (2026). IDW-Based Spatiotemporal Interpolation (https://fr.mathworks.com/matlabcentral/fileexchange/71602-idw-based-spatiotemporal-interpolation), MATLAB Central File Exchange. Extrait(e) le .
Remerciements
Inspiré par : Inverse Distance Weight
Informations générales
- Version 1.0.1 (2,12 ko)
Compatibilité avec les versions de MATLAB
- Compatible avec toutes les versions
Plateformes compatibles
- Windows
- macOS
- Linux
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.0.1 | Added acknowledgements |
||
| 1.0.0 |
