IDW-Based Spatiotemporal Interpolation

Version 1.0.1 (2.12 KB) by Rohit Imandi
This is a project done by Akhil Kumar and Rohit Imandi from Bennett University.
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Updated 20 May 2019

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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 .

MATLAB Release Compatibility
Created with R2019a
Compatible with any release
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Acknowledgements

Inspired by: Inverse Distance Weight

Version Published Release Notes
1.0.1

Added acknowledgements
1.0.0