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.
Cite As
Rohit Imandi (2026). IDW-Based Spatiotemporal Interpolation (https://www.mathworks.com/matlabcentral/fileexchange/71602-idw-based-spatiotemporal-interpolation), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired by: Inverse Distance Weight
General Information
- Version 1.0.1 (2.12 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
