A Generative Trajectory Interpolation Method for Imputing Gaps in Wildlife Movement Data
Published in 1st ACM SIGSPATIAL International Workshop on AI-driven Spatio-temporal Data Analysis for Wildlife Conservation (GeoWildLife ’23), 2023
Recommended citation: Wan, Z. & Dodge, S. (2023). A Generative Trajectory Interpolation Method for Imputing Gaps in Wildlife Movement Data. In 1st ACM SIGSPATIAL International Workshop on AI-driven Spatio-temporal Data Analysis for Wildlife Conservation (GeoWildLife ’23), November 13, 2023, Hamburg, Germany. ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3615893.3628759