five

Data from: "fastbioclim: an R package for creating custom-time bioclimatic and derived environmental summary variables"

收藏
Figshare2026-03-09 更新2026-04-28 收录
下载链接:
https://figshare.com/articles/dataset/Data_from_i_fastbioclim_i_an_R_package_for_creating_custom-time_bioclimatic_and_derived_environmental_summary_variables_/30567752
下载链接
链接失效反馈
官方服务:
资源简介:
This sample dataset is provided for use with the fastbioclim R package (specifically Example 2) to demonstrate how to generate a time series of bioclimatic-like variables from cloud cover data. It consists of a monthly time series of cloud cover derived from CHELSA v2.1 (Karger et al., 2017). The data spans the period from 1980 to 2018 and has been spatially cropped to the extent of Madagascar.Karger, D. N.; Conrad, O.; Böhner, J.; Kawohl, T.; Kreft, H.; Soria-Auza, R. W.; Zimmermann, N. E.; Linder, H. P.; Kessler, M. Climatologies at high resolution for the earth's land surface areas. Sci. Data 2017, 4, 170122 (20 pp.). https://doi.org/10.1038/sdata.2017.122
创建时间:
2026-03-09
二维码
社区交流群
二维码
科研交流群
商业服务