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trait-based biogeography of fire regimes
Given a global mean temperature pathway, generate random global climate fields consistent with it and with spatial and temporal correlation derived from an ESM
This repository contains R code used to analyze the data and produce figures presented in: Scott et al. (2019) "Floodplain inundation spectrum across the United States" under review in Nature Communications.
A toolbox for processing, quality controlling and gap-filling FLUXNET2015 dataset for use in land surface modelling
The software called Fmask (Function of mask) is used for automated clouds, cloud shadows, and snow masking for Landsats 4-8 and Sentinel 2 images.
Deep learning in R and Windows...
GloBI config to index Fricke, E.C., Svenning, J. Accelerating homogenization of the global plant–frugivore meta-network. Nature 585, 74–78 (2020). https://doi.org/10.1038/s41586-020-2640-y
:exclamation: This is a read-only mirror of the CRAN R package repository. ftsa — Functional Time Series Analysis
Functional diversity models in ecology
Examining the relationship between functional diversity measures and species diversity across multiple community types.
Functional diversity and Eveness indexes calculation
:exclamation: This is a read-only mirror of the CRAN R package repository. future — Unified Parallel and Distributed Processing in R for Everyone. Homepage: https://github.com/HenrikBengtsson/future Report bugs for this package: https://github.com/HenrikBengtsson/future/issues
:rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone
Niche modelling with biomod2 (Future scenarios of climate change)
Code to reproduce the simulations presented in Gamfeldt and Roger 2017 published in Nature Ecology and Evolution
Multi-trait dissimilarity with more uniform contributions of different traits
A repository to store R code, scripts and data from the Global Arid Zone Project.
Machine-learning Boosted Regression Tree software suite for species distribution modelling in R
GCAM -- The Global Change Analysis Model
R package for plotting GCAM data on world and regional maps
The Global Climate Data downscaling package, written in Matlab. Requires 'shared_subroutines_Matlab' repository to execute. The GCD package is described in: (1) Mosier, T. M., Hill, D. F., & Sharp, K. V. (2014). 30-Arcsecond monthly climate surfaces with global land coverage. International Journal of Climatology, 34(7), 2175–2188 and (2) Mosier, T. M., Hill, D. F., & Sharp, K. V. (2017). Update to the Global Climate Data package: analysis of empirical bias correction methods in the context of producing very high resolution climate projections. International Journal of Climatology. It also contains methodological extensions not described in the aforementioned manuscripts.
Code for analyses related to GEB publication
A GCM model data explorer and stochastic synthetic weather generator tool aimed at regional evaluation of GCM model performance and the production of downscaled temperature and precipitation time-series datasets. Creators & Contributors: Hector Angarita (TNC - Colombia), David N. Yates (UCAR/NCAR), Nicholas Depsky (ERG - UC Berkeley)
Global Climate Statistical Analysis Library (GCSAL) allows viewing of climate statistics formulated from over 60 years of data acquisition at 3000 locations around the world.
R package for gdalcubes
Generalized Dissimilarity Modelling - Ferrier et al. 2007
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.