Topic: species-distribution-modelling Goto Github
Some thing interesting about species-distribution-modelling
Some thing interesting about species-distribution-modelling
species-distribution-modelling,Testing methods for measuring variable importance in species distribution models
User: adamlilith
species-distribution-modelling,Modeling vulnerability of ruffed lemurs to climate change and deforestation
User: adamlilith
species-distribution-modelling,A model to assess the global risk of Pierce's Disease of grapevines
User: agimenezromero
Home Page: https://pdrisk.ifisc.uib-csic.es/
species-distribution-modelling,A website to hold information and resources for the Atlantic Canada Species At Risk Habitat Modelling Community of Practice
Organization: atlantichabitatmodels
Home Page: https://atlantichabitatmodels.github.io/communityofpractice/
species-distribution-modelling,A curated list of awesome species distribution modeling frameworks, libraries and software.
User: boyanangelov
species-distribution-modelling,Explainable Species Distribution Modeling
User: boyanangelov
species-distribution-modelling,🌼🐝 Bayesian joint species distribution models with networks 🐝🌼
User: cjcarlson
species-distribution-modelling,🌲🌉 Species distribution models with Bayesian additive regression trees
User: cjcarlson
species-distribution-modelling,
User: cmerow
species-distribution-modelling,
User: cmunozr
species-distribution-modelling,Performs Variables selection and model tuning for Species Distribution Models (SDMs). It provides also several utilities to display results.
Organization: consbiol-unibern
Home Page: https://consbiol-unibern.github.io/SDMtune/
species-distribution-modelling,A R package to perform uniform sampling in the environmental space
User: danddr
Home Page: https://danddr.github.io/USE/
species-distribution-modelling,A brief Python tutorial for geospatial classification.
User: daniel-furman
Home Page: https://bit.ly/sdms-tutorial
species-distribution-modelling,A comprehensive species distribution analysis using various machine learning methods on iNaturalist datasets
User: djordjepmihajlovic
Home Page: https://www.inaturalist.org/observations?place_id=any&view=species
species-distribution-modelling,A short tutorial for creating a species distribution model using QGIS, R, and MaxEnt.
User: dondealban
species-distribution-modelling,Species distribution modeling tools, including a python implementation of Maxent
User: earth-chris
Home Page: https://elapid.org
species-distribution-modelling,R code used for the analyses of the paper: Spatial conservation prioritisation in data-poor countries: a quantitative sensitivity analysis using different taxa
User: elgabbas
species-distribution-modelling,Package with data, scripts and plots for manuscript "A comparison of machine learning and statistical species distribution models: when overfitting hurts interpretation" (submitted to Ecological Modelling, Dec 2022)
User: emmachollet
species-distribution-modelling,Ecological Niche Modeling on Docker
User: ghuertaramos
species-distribution-modelling,Repositório dos dados do projeto de PDPD da UFABC "Impacto das mudanças climáticas no mismatch espacial em uma interação de polinização morcego-planta endêmica"
User: guilhermechicarolli
species-distribution-modelling,Randomization of presence/absence species distribution raster data for calculating standardized effect sizes and testing null hypothesis.
User: hemingnm
Home Page: https://hemingnm.github.io/SESraster/
species-distribution-modelling,SDMvspecies is R package to create virtual species (virtual data or artificial data) for SDM (Species Distribution Modelling)
User: howl-anderson
Home Page: http://www.sdmserialsoftware.org/sdmvspecies/
species-distribution-modelling,Modelling framework for creating Integrated SDMS
Organization: iiasa
Home Page: https://iiasa.github.io/ibis.iSDM/
species-distribution-modelling,Code for the generation of a venomous snake vulnerability surface.
User: joshlongbottom
species-distribution-modelling,A compilation of environmental data for species distribution modelling
Organization: lifewatch
Home Page: http://lifewatch.github.io/sdmpredictors/
species-distribution-modelling,Python package to calculate suitabilities of archaeological site locations and determine the underlying factors of their distribution
User: lisa-stubert
species-distribution-modelling,Purely presence-only species distribution modeling with isolation forest and its variations such as Extended isolation forest and SCiForest.
User: lleisong
Home Page: https://lleisong.github.io/itsdm/
species-distribution-modelling,:smirk:
User: lophital
species-distribution-modelling,Web application for specie distribution modelling using maxent classifier
User: madaan-nikhil
species-distribution-modelling,Explicit Interaction Community Models
User: miguel-porto
species-distribution-modelling,Submission to the GeoLifeCLEF 2019 Species Recommendation Challenge
User: nandahkrishna
species-distribution-modelling,Ecological Niche Modelling Using Deep Learning
Organization: naturalis
species-distribution-modelling,Simulate data and fit 2-species occupancy model à la Rota et al. (2016) w/ Unmarked
User: oliviergimenez
species-distribution-modelling,SDM for Python Developers
User: osgeokr
species-distribution-modelling,:earth_americas: An R package for spatial and spatiotemporal GLMMs with TMB
Organization: pbs-assess
Home Page: https://pbs-assess.github.io/sdmTMB/
species-distribution-modelling,Workshop on Introduction to Species Distribution Modelling, devolped by Pedro Henrique Braga and Julia Nordlund.
User: pedrohbraga
species-distribution-modelling,BioModelos is a collaborative online system to map species distributions. This repository stores functions to automate the construction of Species Distribution Models (SDM) from databases gathered, managed and curated by The Alexander Von Humboldt Institute and a network of experts in order to be evaluated and refined.
Organization: pem-humboldt
species-distribution-modelling,GeoLifeCLEF challenge toolkit and starter code
Organization: plantnet
species-distribution-modelling,Predicting how Actic vegetation types distribution in 2050 based on CAVM and CMIP6 climate models
User: plekhanovaelena
Home Page: https://doi.org/10.1080/15230430.2023.2203478
species-distribution-modelling,An R package for species geographical distribution and abundance modelling at high spatiotemporal resolution
User: r-a-dobson
Home Page: https://github.com/r-a-dobson/dynamicSDM
species-distribution-modelling,Jupyter Notebook and working notes of the GeoLifeCLEF 2019 challenge.
User: ramkaushikr
species-distribution-modelling,R library for the analysis of spatial biodiversity data. Including tools to estimate climate from species coexistence including CRACLE and Thompson's Mutual Climatic Range technique.
User: rsh249
species-distribution-modelling,The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust error estimation in spatially structured environments. See
User: rvalavi
Home Page: https://doi.org/10.1111/2041-210X.13107
species-distribution-modelling, Species Distribution Model Identification Tool
User: sachagobeyn
species-distribution-modelling,Environmental tensors from species occurrences to use in CNN-SDMs
User: simonrolph
species-distribution-modelling,Useful tools for constructing species distribution models
User: sjevelazco
Home Page: https://sjevelazco.github.io/flexsdm/
species-distribution-modelling,Scalable joint species distribution modeling
Organization: theoreticalecology
Home Page: https://theoreticalecology.github.io/s-jSDM/
species-distribution-modelling,R package providing utilities for INLA
User: timcdlucas
species-distribution-modelling,Package to calculate Minimum Background Area for SDMs
User: xavi-rp
species-distribution-modelling,The zoon R package
Organization: zoonproject
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.