arxiv
PublishedAugust 27, 2026 at 4:00 AM
Modeling spatio-temporal locality in multi-step forecasting of geo-referenced time series
Publisher summary· verbatim
arXiv:2608.25698v1 Announce Type: new Abstract: Forecasting future measurements from geographically distributed sensors is essential across many domains. However, the spatial distribution of these sensors raises multiple challenges, primarily due to spatial autocorrelation phenomena, that introduce
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivMeta-ethics and AI: exploring the novel meta-ethical questions in the era of AI20harxivSSAKG 2.0: An Open-Source Package for Structural Associative Sequence Memory and Context-Based Retrieval20harxivEpistemic Sybil Resistance: Multiplying AI Agents Without Multiplying Evidence20hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗