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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Python codes for "Regional Greening as a 'Positive' Tipping Phenomenon".

Authors: Sun, Yu; Fan, Jingfang;

Python codes for "Regional Greening as a 'Positive' Tipping Phenomenon".

Abstract

# Regional Greening as a 'Positive' Tipping Phenomenon ## Contents - [Overview](#overview) - [Repo Contents](#repo-contents) - [System Requirements](#system-requirements) - [Installation Guide](#installation-guide) - [Demo](#demo) # Overview The Python codes for our paper "Regional Greening as a 'Positive' Tipping Phenomenon". # Repo Contents - [Code](./Code): main code for simulation and visualization - [Tibet](Code/Tibet) : site percolation simulation and related analysis for Qinghai-Tibetan Plateau (QTP) area. - [EVI_Percolation](Code/Tibet/EVI_Percolation): fragment-size distribution exponent and fractal dimensions for QTP - [EVI_Percolation_Shuffle](Code/Tibet/EVI_Percolation_Shuffle): null models for QTP - [EVI_Percolation_Snapshots](Code/Tibet/EVI_Percolation_Snapshots): correlation length and susceptibility for QTP - [EVI_Percolation_Protection](Code/Tibet/EVI_Percolation_Protection): Optimal enhancing resilience model for QTP - [EVI_Enhanced](Code/Tibet/EVI_Enhanced): Enhanced EVI Coverage for QTP - [Sahel](Code/Sahel) site percolation simulation and related analysis for Sahel area. - [EVI_Percolation](Code/Sahel/EVI_Percolation): fragment-size distribution exponent and fractal dimensions for Sahel - [EVI_Percolation_Shuffle](Code/Sahel/EVI_Percolation_Shuffle): null models for Sahel - [EVI_Percolation_Snapshots](Code/Sahel/EVI_Percolation_Snapshots): correlation length and susceptibility for Sahel - [EVI_Percolation_Protection](Code/Sahel/EVI_Percolation_Protection): Optimal enhancing resilience model for Sahel - [EVI_Enhanced](Code/Sahel/EVI_Enhanced): Enhanced EVI Coverage for Sahel - [Plot_Figs](Code/Plot_Figs) : Draw the pictures - [GEE_Data_Download_Script](./GEE_Data_Download_Script): scripts to download data from Google Earth Engine (GEE) - [Shapefile](./Shapefile): shapefiles used to select the Sahel and Tibet regions in the study. - [SRCJl](./SRCJl) and [SRCPy](./SRCPy) : custom function libraries. # System Requirements ## Software Requirements ### OS Requirements The package development version is tested on *Linux* operating systems. The developmental version of the package has been tested on the following systems: Linux: Ubuntu 22.04 # Installation Guide 1. Users should build Python (3.9) and Julia (1.9) environment first. For Python, visit [https://www.anaconda.com/download](https://www.anaconda.com/download) to download and install the Anaconda distribution. For Julia, go to [https://julialang.org/downloads/](https://julialang.org/downloads/) and download the Julia installer for your platform. Follow the installation instructions provided on these websites. 2. Compile the libraries. ``` cd SRCJl\Flib\sitep bash compile_site_percolation.sh ``` # Prepare Data 1. Download data from GEE by using the [GEE_Data_Download_Script](./GEE_Data_Download_Script) and [shapefile](./Shapefile). 2. Place the data in the corresponding path: - MODIS EVI V6 (QTP): [Code/Tibet/Data/Tibet_EVI_V6/Summer](Code/Tibet/Data/Tibet_EVI_V6/Summer/) - MODIS EVI V6 (Sahel) : [Code/Sahel/Data/Sahel_EVI_V6/Summer](Code/Sahel/Data/Sahel_EVI_V6/Summer/) - TerraClimate Summer precipitation (QTP) : [Code/Tibet/Data/Tibet_TerraClimate_pr_Summer](Code/Tibet/Data/Tibet_TerraClimate_pr_Summer) - TerraClimate Summer precipitation (Sahel) : [Code/Tibet/Data/Sahel_TerraClimate_pr_Summer](Code/Sahel/Data/Tibet_TerraClimate_pr_Summer) # Demo ``` cd Code/Sahel/EVI_Percolation bash run_all.sh ``` ``` cd Code/Tibet/EVI_Percolation_Shuffle bash run_all.sh ``` ``` cd Code/Tibet/EVI_Percolation_Snapshots bash run_all.sh ``` ``` cd Code/Tibet/EVI_Percolation_Protection bash run_all.sh ``` ``` cd ode/Tibet/EVI_Enhanced bash run_all.sh ```

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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