99 skills found · Page 1 of 4
vegandevs / VeganR package for community ecologists: popular ordination methods, ecological null models & diversity analysis
nicholasjclark / Mvgam{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting
wallaceEcoMod / Wallacean interactive, reproducible, expandible, instructional, and open-source GUI-based app for ecological niche modeling
jeffreyevans / SpatialEcoR package for spatial analysis and modelling of ecological systems
marlonecobos / Kuenmkuenm: An R package for detailed calibration and construction of Maxent Ecological Niche Models.
Dogiye12 / AI Based Biodiversity Hotspot MappingThis project uses AI to map biodiversity hotspots by analyzing environmental variables and species richness data. A machine learning model predicts high-biodiversity areas, supporting conservation planning and ecological research with spatially explicit outputs.
BLayman / Artificial Life SimulatorAn ecologically inspired multi-agent system. Agents are designed with neural network based decision making, and complex resource requirements.
jamiemkass / ENMevalR package for automated runs and evaluations of ecological niche models.
adamlilith / EnmSdmFaster, better, smarter ecological niche modeling and species distribution modeling
Model-R / ModleRAn ecological niche model workflow based on dismo
andrefaa / ENMTMLCreate Ecological Niche Models with TheMetaLand
sizespectrum / MizerMulti-species size-based ecological modelling in R
nicholasjclark / Physalia Forecasting CourseEcological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}
mvrl / TaxaBind[WACV'25 Oral] TaxaBind: Multimodal Ecological Model
timmh / BiolithBayesian Ecological Modeling in Python
mbjoseph / NeuralecologyCode for the paper "Neural hierarchical models of ecological populations"
armandosunny / EcoNicheSEcoNicheS: enhancing ecological niche modeling, niche overlap and connectivity analysis using shiny dashboard and R Package . This is Version 1.0.0, and subsequent versions will be uploaded with additional analyses and upgrades.
LEEClab / LS CORRIDORSSimulation of multiple ecological functional corridors
gopiashokan / Bird Sound Classification Using Deep LearningEngineered a robust deep learning model using Convolutional Neural Networks and TensorFlow to classify 114 bird species based on audio recordings. Model achieved an impressive accuracy of 93.4%, providing valuable insights for conservationists and ecologists in the wildlife & ecological research sectors.
atsa-es / AtsaApplied Time Series Analysis - course website repository.
