activity
20232025
most citedSpatial Implicit Neural Representations for Global-Scale Species Mapping

10 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025★ 2 cited

Feedforward Few-shot Species Range Estimation

Christian Lange, Max Hamilton, Elijah Cole +6

Knowing where a particular species can or cannot be found on Earth is crucial for ecological research and conservation efforts. By mapping the spatial ranges of all species, we wou…

cs.DB2024★ 1 cited

Combining Observational Data and Language for Species Range Estimation

Max Hamilton, Christian Lange, Elijah Cole +5

Species range maps (SRMs) are essential tools for research and policy-making in ecology, conservation, and environmental management. However, traditional SRMs rely on the availabil…

q-bio.QM2024★ 1 cited

Generating Binary Species Range Maps

Filip Dorm, Christian Lange, Scott Loarie +1

Accurately predicting the geographic ranges of species is crucial for assisting conservation efforts. Traditionally, range maps were manually created by experts. However, species d…

cs.LG2023

Active Learning-Based Species Range Estimation

Christian Lange, Elijah Cole, Grant Van Horn +1

We propose a new active learning approach for efficiently estimating the geographic range of a species from a limited number of on the ground observations. We model the range of an…

cs.LG2023★ 10 cited

Spatial Implicit Neural Representations for Global-Scale Species Mapping

Elijah Cole, Grant Van Horn, Christian Lange +5

Estimating the geographical range of a species from sparse observations is a challenging and important geospatial prediction problem. Given a set of locations where a species has b…