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On the recordRead 12 Oct 202628 facts
stemflow
On the record
- Base models
- Users can supply scikit-learn-style BaseEstimator classes or use a scikit-learn-style Maxent model as a base model.chenyangkang.github.io · read 12 Oct 2026
- Contributions and collaboration
- The project welcomes pull requests and application-level research collaboration.chenyangkang.github.io · read 11 Oct 2026
- Data import formats
- pandas DataFrame; DuckDB (.duckdb); Parquet (.parquet)chenyangkang.github.io · read 25 Sep 2026
- Data support
- It supports continuous and categorical features, plus static and dynamic features.chenyangkang.github.io · read 11 Oct 2026
- Deployment
- desktopchenyangkang.github.io · read 25 Sep 2026
- Features
- It supports spatiotemporal modeling and prediction, overall feature importance calculation, and plotting spatiotemporal dynamics.chenyangkang.github.io · read 11 Oct 2026
- Features and data
- It supports feature importance calculations, plots of spatiotemporal dynamics, and continuous, categorical, static, and dynamic features.chenyangkang.github.io · read 12 Oct 2026
- Indexing
- The package supports user-defined 2D spatial indexing with CRS, 3D spherical indexing, and user-defined temporal indexing.chenyangkang.github.io · read 11 Oct 2026
- Installation
- The site gives pip and conda installation commands and a pip command for installing the latest GitHub beta.chenyangkang.github.io · read 11 Oct 2026
- Integrations
- The documented installation methods are pip, a GitHub beta install, and conda; examples also use XGBoost models and eBird survey data.chenyangkang.github.io · read 12 Oct 2026
- Intended users
- The introduction describes stemflow as a user-friendly Python package for modeling large spatiotemporal datasets, including ecological abundance estimation.chenyangkang.github.io · read 12 Oct 2026
- License
- The repository provides the software under the MIT License, which permits use, copying, modification, distribution, sublicensing, and sale subject to its stated conditions.github.com · read 12 Oct 2026
- Memory handling
- Lazy loading and database queries are supported to reduce memory load during parallel computing.chenyangkang.github.io · read 12 Oct 2026
- Memory tools
- Lazy loading and database queries are described as ways to reduce memory load during parallel computing.chenyangkang.github.io · read 11 Oct 2026
- Model approach
- It splits input data into spatial or spatiotemporal cells called stixels, trains each separately, and aggregates their predictions into an ensemble.chenyangkang.github.io · read 12 Oct 2026
- Modeling approach
- It splits input data with Quadtree or Sphere Quadtree, trains each spatiotemporal split separately, and aggregates the ensemble for prediction.chenyangkang.github.io · read 11 Oct 2026
- Product
- stemflow is a Python toolkit for Adaptive Spatio-Temporal Exploratory Models (AdaSTEM).chenyangkang.github.io · read 11 Oct 2026
- Purpose
- Stemflow is a Python toolkit for Adaptive Spatio-Temporal Exploratory Models (AdaSTEM), with typical use in daily abundance estimation from eBird citizen science surveys.chenyangkang.github.io · read 12 Oct 2026
