Examples
Examples
Try the starting example
- Canopy hits
- 65
- Independent sampled points
- 100
- Estimated cover and marginal Wilson95 limits
- [0.65,0.552544432969,0.736357517569]
Try another scenario
- Canopy hits
- 66
- Independent sampled points
- 100
- Estimated cover and marginal Wilson95 limits
- [0.66,0.562777288547,0.745384792027]
Calculation method
Calculation method
Estimated cover and marginal Wilson95 limits
Binomial Wilson interval under independent equal-probability point sampling. Clustered designs require design-aware inference.
Symbols and units
- a
- Canopy hits
- b
- Independent sampled points
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
- Point classifications, sampling design. Returns Cover proportion and uncertainty. All coefficients and observations are user supplied; results describe only the stated mathematical model. Quantities are deterministic calculations from supplied observations and assumptions; no external data is fetched. Supported limits: Finite inputs only; numeric fields bounded as labelled. Lists and JSON records are limited to 256 entries unless a stricter tool bound is stated. No automatic design approval, legal conclusion, treatment recommendation or safety certification. Canopy hits: minimum 0, maximum 100000000. Independent sampled points: minimum 1, maximum 100000000.
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.