Terrain & maps
2D Contour Mapping Lab
Publication-ready contour maps from your point data.
Load X, Y, Z points from a total station, GPS, boreholes or any spatial variable, interpolate them by ordinary kriging or inverse distance, and lay out a print-ready contour map with variogram and cross-validation.
Overview
The kriging variogram is fitted automatically (spherical model, weighted least squares) and every point is predicted from the others to show how reliable the surface is. The map can be clipped to the data hull so nothing is extrapolated.
What you enter · What you get
What you enter
- CSV, TXT or XYZ file, or pasted rows
- Projected or geographic coordinates
- Method, grid size, interval and map style
What you get
- Contour map with grid, scale, north arrow and legend
- Experimental and fitted semivariogram
- Leave-one-out RMSE and R²
How it works in the field
Load or paste points
Choose interval and elements
Export the map
Method and equations
Ordinary kriging
Best linear unbiased estimate with a fitted spherical variogram.
γ(h) = c0 + c [1.5 h/a − 0.5 (h/a)³], h ≤ a
Cross-validation
Dubrule’s (1983) closed form gives every leave-one-out error from one matrix inverse.
ei = wi / (A−1)ii
Who uses it
Researchers preparing figuresSurveyors and GIS techniciansTeachers of map reading
Standards and references
- Isaaks, E.H. & Srivastava, R.M. (1989). An Introduction to Applied Geostatistics. Oxford University Press.
- Dubrule, O. (1983). Cross validation of kriging in a unique neighborhood. Mathematical Geology, 15, 687–699.
- Shepard, D. (1968). A two-dimensional interpolation function for irregularly-spaced data. Proc. ACM National Conference, 517–524.
Results support professional judgement. They do not replace a licensed engineer’s or geologist’s sign-off.
At a glance
- Category
- Terrain & maps
- Runs on
- Phone, tablet and desktop browser
- Export
- SVG, PNG, GeoJSON, DXF, grid CSV
- Access
- Subscribers
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