chenyangkang/stemflow
A Python Package for Adaptive Spatio-Temporal Exploratory Model (AdaSTEM)
This tool helps scientists and environmental researchers estimate daily animal or plant abundance using survey data like eBird. It takes your geo-referenced observations, along with static and dynamic environmental features, and provides smoothed predictions of species distribution over space and time. It's designed for anyone needing to analyze and forecast biological occurrences.
Available on PyPI.
Use this if you need to model and predict how species or phenomena change across geographical areas and over time, especially when dealing with patchy or zero-inflated observational data.
Not ideal if your data lacks both spatial and temporal components, or if you need a real-time prediction system with extremely low latency.
Stars
26
Forks
1
Language
Python
License
MIT
Category
Last pushed
Feb 19, 2026
Commits (30d)
0
Dependencies
12
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