GithubHelp home page GithubHelp logo

qiang-yang-ecology / yang.et.al.the.predictability.of.ecological.stability.in.a.noisy.world Goto Github PK

View Code? Open in Web Editor NEW
2.0 1.0 4.0 94.89 MB

R codes and data for Yang et al. 2019. Nature Ecology & Evolution.

HTML 100.00%

yang.et.al.the.predictability.of.ecological.stability.in.a.noisy.world's Introduction

This is the repository containing the R codes and data for the following paper: https://doi.org/10.1038/s41559-018-0794-x.

For potential code questions please contact Qiang Yang by [email protected]

Files in this repository include:

  1. R.codes.for.Yang.et.al.2019.NEE.html: R codes for reproducing the result and figure of the paper.

  2. foodweb.motif.png: the network structure of the food-web modules

  3. adjacent_matrix_list.Rdata: the adjacent matrix of the food-web modules

  4. mydata_foodweb_set_new_method.Rdata: food-webs constructed

  5. all_noise_combinations.Rdata: characteristics of the environmental stochasticity

  6. mydata_ALL_NOISE_DATASET.Rdata: time series of generated environmental stochasticity

  7. mydata_stability.Rdata: the stability of each food-web under each regime of environmental stochasticity

  8. mydata_stability.mean.Rdata: the mean stability value of each food-web under the 50 'replicate' regimes of environmental stochasticity

  9. df.mod.Rdata: the main result of the random forest modeling that was used to plot Fig. 5

  10. sensitivity.result.species.identity.Rdata: the main result of the sensitivity analysis on the identity of species receiving the perturbation

  11. sensitivity.result.time.range.variability.Rdata: the main result of the sensitivity analysis on the simulation time

  12. df.stability.0.01.Rdata: the main result of the sensitivity analysis on the magnitude of the environmental stochasticity

yang.et.al.the.predictability.of.ecological.stability.in.a.noisy.world's People

Stargazers

 avatar  avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.