Examples
Examples
Try the starting example
- JSON Benchmarks [ID,reference elevation m,measured elevation m]
- [["A",100,100.004],["B",101,100.99]]
- Supplied absolute discrepancy tolerance (m)
- 0.005
- Elevation discrepancies (m)
- [["A",0.004],["B",-0.01]]
- Beyond supplied tolerance IDs
- ["B"]
- Maximum absolute discrepancy (m)
- 0.01
Try another scenario
- JSON Benchmarks [ID,reference elevation m,measured elevation m]
- [["A",100,100.004],["B",101,100.99]]
- Supplied absolute discrepancy tolerance (m)
- 0.015
- Elevation discrepancies (m)
- [["A",0.004],["B",-0.01]]
- Beyond supplied tolerance IDs
- []
- Maximum absolute discrepancy (m)
- 0.01
Calculation method
Calculation method
Elevation discrepancies (m)
J([[r[0],r[2]-r[1]] for r in a])
Beyond supplied tolerance IDs
J([r[0] for r in a if abs(r[2]-r[1])>b])
Maximum absolute discrepancy (m)
max(abs(r[2]-r[1]) for r in a)
Symbols and units
- a
- JSON Benchmarks [ID,reference elevation m,measured elevation m]
- b
- Supplied absolute discrepancy tolerance (m)
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Assumptions & limits
Assumptions & limits
- Direct reference-versus-observed discrepancy only; no instrument calibration or survey certification. Supported limits: All numeric inputs must be finite. Only the explicitly described mathematical scenario is supported.
Are these inputs private?
These calculations run in your browser. A shared link contains the values you choose to share. Only questions submitted to the separate AI finder are sent to OpenAI.