Coordinate Deviation
Compare two sets of coordinates and calculate per-point deviation, RMSE and CE95.
Reference
Measured
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Mean Dist.
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Max Dist.
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RMSE
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CE95
| # | ΔLat (m) | ΔLng (m) | Distance | Bearing |
|---|
📏Paste reference and measured coordinates above, then click Compute.
About This Tool
This tool compares two sets of coordinates — a reference set and a measured set — and computes per-point deviations alongside aggregate accuracy statistics. It is used in geodesy, surveying, and GPS quality control to quantify how closely field measurements agree with known control points.
Key Concepts
- Reference Coordinates
- The "truth" — coordinates from a reliable source such as a geodetic control network, cadastral survey, or high-accuracy GNSS measurement. Each point in this set is treated as the accepted correct position.
- Measured Coordinates
- The observations to be evaluated — typically GPS/GNSS fixes, digitised points, or coordinates derived from a less accurate method. Points are matched to the reference set by their order in the list.
- Delta Lat / Delta Lng (m)
- The signed difference between measured and reference position along the north–south and east–west axes respectively, converted from degrees to metres using the standard approximation: 1° latitude ≈ 111,319.9 m; 1° longitude ≈ 111,319.9 m × cos(latitude).
- Distance (m)
- The horizontal straight-line distance between each reference–measured pair, computed as the Euclidean distance of the planar delta components: √(ΔLat² + ΔLng²). Valid for small separations (under a few kilometres) where flat-earth approximation holds.
- RMSE — Root Mean Square Error
- The square root of the mean of squared distances across all point pairs: √(Σd²/n). RMSE is the standard single-number summary of positional accuracy; it weights large errors more heavily than the mean distance.
- CE95 — Circular Error 95th Percentile
- The radius of a circle centred on the reference point within which 95% of measured positions are expected to fall. Derived from RMSE as CE95 ≈ 2.448 × RMSE (assuming a 2D normal error distribution). CE95 is the standard accuracy metric in mapping standards such as ASPRS and NMAS.