Tyler A. Hallman — accepted AI-conference papers

2025

Spatial Clustering of Citizen Science Data Improves Downstream Species Distribution Models

Nahian Ahmed, Mark Roth, Tyler A. Hallman, W. Douglas Robinson, Rebecca A. Hutchinson

AAAI 2025technical

Citizen science biodiversity data present great opportunities for ecology and conservation across vast spatial and temporal scales. However, the opportunistic nature of these data lacks the sampling structure required by modeling methodologies that address a pervasive challenge in ecological data co…

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2021

StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling

Eugene Seo, Rebecca A. Hutchinson, Xiao Fu, Chelsea Li, Tyler A. Hallman, John Kilbride +1

AAAI 2021technical

This paper focuses on a core task in computational sustainability and statistical ecology: species distribution modeling (SDM). In SDM, the occurrence pattern of a species on a landscape is predicted by environmental features based on observations at a set of locations. At first, SDM may appear to b…

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