Inverse distance weighting for creating a surface from sample points 

Thank you for the simple explanation. Excellent Tutorial.

Thanks for very clear descriptions and detailed Explanation.

Really great information and well presented! I never thought about raising the distances to different powers to change the gradient. Awesome stuff!

Thanks a bunch, exactly what I needed to know!

thank you! What I exactly was looking for.

Thank you so much for this! Excellent video

Thank you sir, it's an excellent explanation

Thank you so much sir Very good explanation and that's exactly what I'm looking for

Thank you.

Thank you, great 💡

very useful!

Thanks for this! While we use other interpolation methods (minimum curvature, bidirectional spline, kriging) for the course I TA, this is a fantastic visual of how one works. I'm a former GGR student who took all GIS-based courses and I'm glad I did! ArcMap or Pro aren't my 'daily drivers' anymore but the knowledge I gained on understanding geodata has allowed me to transition easily to other software. So cheers for the solid foundation Don!

great explanation, but i faced critical problem in that i proposed to under take phd study in acertain water shed and with in the water shed there is meteorological station i am gong to use, but the station mises parametres but , in 30 km distance from my study area there is guaged station with full parametres, so how can i interpolate/ downscale to my watershed ? help me