Maximum Entropy (MaxEnt) — interactive explainer

Click cells to record species observations. In all views, darker = higher value: darker green = higher probability; darker amber/red/blue in the strip = higher elevation/temperature/moisture. The strip colors match the single-layer views exactly. Cells whose feature strip best matches the averages observed in your clicks receive the highest (darkest green) probability.

low prob

high prob

Entropy: 4.605 (100.0% of max)

View

Probability (MaxEnt) Elevation only Temperature only Moisture only

In all views, darker = higher value.

Active features & constraints

Elevation Temperature Moisture

Each checked feature becomes a constraint: the model must match its average value across your observations.

Constraint match

For each active constraint, amber = average feature value across your observed clicks; colored = what the current model predicts. At convergence the two bars match — that is what satisfying the constraint means.

Add observations to see constraints.

Click words to add them to the corpus. Each word shows feature badges: N nature word, noun, long. Hover a word to see which others share its features — those are outlined in blue and receive a probability boost from the same constraints.

Word probability

Vertical line = uniform (12.5%, no data). Green = above uniform; red = below.

Active features & constraints

Nature word Noun Long word (≥6 chars)

Each checked feature becomes a constraint: the model must match how often that feature appeared in your corpus.

Constraint match

For each active constraint, amber = fraction of corpus words that have this feature; colored = fraction the model currently predicts. At convergence the two bars are equal.

Add corpus words to see constraints.