• License: MIT
• Home: https://github.com/chenyangkang/stemflow
• Development: https://github.com/chenyangkang/stemflow
• Documentation: https://chenyangkang.github.io/stemflow/
• 8406 total downloads
• Last upload: 13 days and 19 hours ago

Description

stemflow is a toolkit for Adaptive Spatio-Temporal Model (AdaSTEM) in python. A typical usage is daily abundance estimation using eBird citizen science data. It leverages the "adjacency" information of surrounding target values in space and time, to predict the classes/continuous values of target spatial-temporal points.