stemflow

Bird abundance model

A Python package for modeling and predicting bird abundance using citizen science data

A Python Package for Adaptive Spatio-Temporal Exploratory Model (AdaSTEM)

GitHub

17 stars
3 watching
1 forks
Language: Python
last commit: 10 days ago
adaptive-spatio-temporal-exploratory-modelanimalanimal-movementbig-databiodiversitybiogeographybird-migrationbird-surveyebirdecologyecology-modellinggeospatialmachine-learningmovementmovement-ecologyornithologyspatio-temporal-analysisspatiotemporalspatiotemporal-dynamicsspecies-distribution-modeling

Related projects:

Repository Description Stars
birdflow-science/birdflowr A package that predicts changes in bird distributions and generates synthetic migration routes using machine learning models. 10
ciiram/birdpy Developing machine learning and signal processing models to monitor biodiversity using bird sounds 6
earth-chris/elapid Software package for species distribution modeling using geospatial data and machine learning algorithms 54
wildlife-dynamics/ecoscope A software package for analyzing and visualizing wildlife movement data and environmental conservation data 25
metno/pyaerocom Tools for evaluating climate and air quality models using Earth observation data. 26
hectornieto/pytseb A Python-based framework for estimating evapotranspiration from remote sensing data using the Two Source Energy Balance model 136
sjevelazco/flexsdm Provides tools and functions for constructing species distribution models by preparing input data, modeling construction, and validation. 52
geco-bern/rsofun Tools for simulating ecosystem processes and model calibration in site-scale simulations. 25
philipmostert/pointedsdms Tools for building and evaluating integrated species distribution models from disparate datasets 24
climdyn/qgs A flexible Python framework for simulating the dynamics of atmospheric models in midlatitudes 35
cornelllabofornithology/auk A package for extracting and processing eBird data in R. 137
alan-turing-institute/monitoring-ecosystem-resilience Develops tools to analyze satellite imagery and simulate vegetation patterns for understanding ecosystem resilience 23
ghislainv/forestatrisk A Python package for modeling and forecasting deforestation risk in tropical regions using spatial analysis and machine learning techniques. 117
adamlilith/enmsdmx Tools and functions for modeling species distributions and niches using spatial data analysis 24
birdnet-team/birdnet A Python library for identifying bird species by their sounds using deep learning and acoustic monitoring. 11