I will perform spatial interpolation kriging and heat mapping in qgis arcgis

Got scattered point data and need a continuous surface map but don't know which interpolation method actually fits your data?

Most freelancers run one default method and hand it over. I test your data against multiple algorithms and tell you which one is statistically justified the kind of rigor that holds up if your work goes in front of a thesis committee, a donor report, or a peer reviewer.

What I deliver:

• Inverse Distance Weighting (IDW) fixed and variable radius
• Kriging Ordinary and Universal
• Spline Regularized and Tension
• Method comparison with visual and statistical justification for the best fit
• Cross-validation (RMSE) on request, so you know the error, not just the picture

Applications: rainfall/precipitation surfaces, groundwater depth, soil property mapping (pH, salinity, nutrients), temperature gradients, pollution concentration, any point-sampled environmental variable.

Software: QGIS, SAGA GIS, ArcGIS-equivalent workflows, Python (scipy/pykrige) for validation.

Why work with me: I hold a BS in Space Science with a thesis background in geodetic surface modeling interpolation isn't a menu option I click, it's a method I understand the math behind. I'll tell you honestly