IDW-Based Spatiotemporal Interpolation

Version 1.0.1 (2,12 KB) von Rohit Imandi
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.

Zitieren als

Rohit Imandi (2026). IDW-Based Spatiotemporal Interpolation (https://de.mathworks.com/matlabcentral/fileexchange/71602-idw-based-spatiotemporal-interpolation), MATLAB Central File Exchange. Abgerufen.

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Erstellt mit R2019a
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Inspiriert von: Inverse Distance Weight

Version Veröffentlicht Versionshinweise
1.0.1

Added acknowledgements
1.0.0