🌎LE-SINR is able to geographically ground text prompts to locations on the earth. This includes continents and countries, geographic features, and even concepts that do not appear in our species training data but are represented in the language model 🔍Example: "hello kitty"

🚀Le-SINR combines millions of citizen science species observations with textual descriptions from Wikipedia, enabling zero-shot range estimation from text and facilitating the learning of rich spatial covariates at a global scale.

Low-dimensional projection of the learned features 👇

❓How can we predict where a species may be found when observations are limited?

✨Introducing Le-SINR: A text to range map model that can enable scientists to produce more accurate range maps with fewer observations.

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