species-distribution-modeling
There are 0 repository under species-distribution-modeling topic.
- enmSdm
adamlilith / enmSdm
Faster, better, smarter ecological niche modeling and species distribution modeling
Language:R 45 - Language:R 28
elijahcole / sinr
Spatial Implicit Neural Representations for Global-Scale Species Mapping - ICML 2023
Language:Python 24Tools for Modeling Niches and Distributions of Species
Language:R 20chenyangkang / stemflow
A Python Package for Adaptive Spatio-Temporal Exploratory Model (AdaSTEM)
Language:Python 12jcoliver / biodiversity-sdm-lesson
Introductory lesson to generate range maps for butterfly-host plant interactions and predict distributional shifts using publicly available biodiversity data and data science tools
Language:R 12tpoisot / InterpretableSDMWithJulia
Slides for the "Interpretable SDM with Julia" workshop
Language:Julia 6computorg / published-202204-deeplearning-occupancy-lynx
"Trade-of between deep learning for species identication...", by Olivier Gimenez et al
Language:TeX 5Modeling vulnerability of ruffed lemurs to climate change and deforestation
Language:R 4instadeepai / locust-predict
Locust breeding ground prediction using pseudo-absence generation and machine learning.
Language:Jupyter Notebook 2daniel-furman / PySDMs
A Python class for AutoML spatial classification (designed for Species Distribution Modeling applications).
Language:Python 1- Language:MATLAB 1
nandahkrishna / GeoLifeCLEF2019
Submission to the GeoLifeCLEF 2019 Species Recommendation Challenge
Language:Jupyter Notebook 1Vizzuality / vspt
R package for vizzuality species distrubtion prediction tools
Language:R 1- glc-20Language:Jupyter Notebook 0
Janopecuario / climatemodeling
Code for modeling climate variables in the Canary Islands
Language:R 0jewelcodes / usdm
Proof-of-concept species distribution modeling package intended for learning and experimentation
Language:Python 0JTSALAH / Automated-GBIF-Species-Distribution-Modeling
Utilize R and GBIF to automatically download data and run optimized MaxEnt models for multiple species.
Language:R 0lance-waller-lab / envi
Environmental Interpolation using Spatial Kernel Density Estimation
niche-modelingniche-modellingpoint-patternpoint-pattern-analysisprincipal-component-analysisrr-packagerstatsrstats-packagespecies-distribution-modelingspecies-distribution-modellingecological-nicheecological-niche-modellinggeospatialgeospatial-analysiskernel-density-estimationnon-euclidean-spacesspatial-analysiscrancran-rLanguage:R 0peterbat1 / ENM_Taylor_Diagram
Application of Taylor Diagrams to Ecological Niche Models/Species Distribution Models
Language:R 0Workflow to fit niche models to species occurrence data using glmnet via maxnet package
Language:R 0robcrystalornelas / clubes_de_ciencias_SDMs
Material for 1 week course in species distribution modeling using R notebooks, MaxEnt, and GIS packages.
0sommergeo / neanderthaler_distribution_model
Species Distribution Model for Rodriguez et al. (2022): Sustainable Human Population Density in Western Europe between 560.000 and 360.000 years ago.
Language:PostScript 0stangandaho / nimo
A Graphical User Interface-Based R Package for Species Distribution Modeling
Language:HTML 0Taylor-Swearingen / EY-Data-Challenge-2022-TSwear
This is a file to predict 9 species of frogs based on the coordinates provided by Ernst & Young for the 2022 Data Challenge. This scored .77 against the actual data stored in the EY challenge hub for submission grading.
0chrismgentry / Distribution-Maps
Connecting to External Data Sources, APIs, and Simple Distribution Map Exercise for BIOL 5700, Advanced Data Analytics
Language:HTML- Language:R
R package to give easy access to ALA plant occurrence data
Language:Rpooh39777 / sdm-leucobryum
Predicting the Future Distribution of Leucobryum aduncum under Climate Change
