Expanding China's protected areas network to enhance resilience of climate connectivity
收藏NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://zenodo.org/record/8167056
下载链接
链接失效反馈官方服务:
资源简介:
The code used for analysis, mammalian species occurrence points, prediction accuracy(AUC), and prediction distribution.
Specifically,
The main nodes are named "network efficiency.R" and "network efficiency_random.R", which can be run in RStudio software (download at https://posit.co/), and the files "hfp_expanded.csv" and "EN_length_expanded.net" are example data.
"Terrestrial mammalian species occurrence points.csv" is the latitude and longitude coordinates of occurrence records.
"AUC_prediction accuracy of Maxent.xlsx" is the prediction accuracy of each species in the Maxent model.
"all_species_maxent.zip" is the composite terrestrial mammalian species distribution of equal weight overlapping the spatial distribution of each species ("each_species_maxent.zip").
创建时间:
2024-04-11



