Anthromes 12K DGG Datasets and Code for anthromes classification and analysis in Discrete Global Grid format (DGG), an equal area mapping system ideal for global biodiversity assessments.

This Dataverse Provides Replication Data and Associated Datasets for:

Ellis et al. (2021). "People have shaped most of terrestrial nature for at least 12,000 years". Proceedings of the National Academy of Sciences doi: 10.1073/pnas.2023483118.
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Anthromes 12K DGG (V1) Full Dataset
Anthromes 12K DGG (V1) Full Dataset
Mar 7, 2024
Gauthier, Nicolas; Ellis, Erle; Klein Goldewijk, Kees, 2021, "Anthromes 12K DGG (V1) Full Dataset", https://doi.org/10.7910/DVN/E3H3AK, Harvard Dataverse, V4
Anthromes 12K DGG Full Dataset (version 1.0) Replication Data for: Ellis et al. (2021). "People have shaped most of terrestrial nature for at least 12,000 years". Proceedings of the National Academy of Sciences doi: 10.1073/pnas.2023483118. This repository contains the full Anthromes-12k-DGG dataset in .csv format for all three uncertainty levels (...
Anthromes 12K DGG v1 shapefile
Nov 21, 2023
Ellis, Erle; Nicolas Gauthier, 2023, "Anthromes 12K DGG v1 shapefile", https://doi.org/10.7910/DVN/SZFCPX, Harvard Dataverse, V1
Anthromes 12K DGG shapefile (version 1.0) Data product from: Ellis et al. (2021). "People have shaped most of terrestrial nature for at least 12,000 years". Proceedings of the National Academy of Sciences doi: 10.1073/pnas.2023483118. This zip file contains the Anthromes 12K DGG v1 map data (baseline estimate) in shapefile format using the discrete...
Anthromes 12K DGG (V1) analysis code and R research compendium
Anthromes 12K DGG (V1) analysis code and R research compendium
Apr 18, 2021
Gauthier, Nicolas, 2021, "Anthromes 12K DGG (V1) analysis code and R research compendium", https://doi.org/10.7910/DVN/6FWPZ9, Harvard Dataverse, V2
This R research compendium reproduces all the analyses and non-map visualizations in the paper Ellis et al. (2021). "People have shaped most of terrestrial nature for at least 12,000 years". Proceedings of the National Academy of Sciences, doi:10.1073/pnas.2023483118. It contains scripts and R Markdown vignettes for generating the hexagonal discret...
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