column | input |
---|---|
folder_name | human-modification-index_world_2016_1km_mollweide_tif |
name | human-modification-index_world_2016_1km_mollweide.tif |
crs | NA |
epsg | 0 |
year_of_data | 2016 |
units_of_data | proportion of a landscape modified |
resolution | 1km |
type_of_data | continuous_numeric |
type_of_file | .tif |
source | https://sedac.ciesin.columbia.edu/ |
link_of_source | https://sedac.ciesin.columbia.edu/ |
date_of_compile | 2023-05-08 |
copyright | Copyright © 1997–2023. The Trustees of Columbia University in the City of New York. |
short_description | The Global Human Modification of Terrestrial Systems data set provides a cumulative measure of the human modification of terrestrial lands across the globe at a 1-km resolution. It is a continuous 0-1 metric that reflects the proportion of a landscape modified, based on modeling the physical extents of 13 anthropogenic stressors and their estimated impacts using spatially-explicit global data sets with a median year of 2016. https://doi.org/10.1111/gcb.14549. |
modified | NA |
[1] "2023-05-08 15:40:53 CEST"
R version 4.2.3 (2023-03-15 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 17763)
Matrix products: default
locale:
[1] LC_COLLATE=German_Germany.1252 LC_CTYPE=German_Germany.1252
[3] LC_MONETARY=German_Germany.1252 LC_NUMERIC=C
[5] LC_TIME=C
attached base packages:
[1] stats graphics grDevices utils datasets methods
[7] base
other attached packages:
[1] patchwork_1.1.2
loaded via a namespace (and not attached):
[1] terra_1.7-23 tidyselect_1.2.0 xfun_0.37
[4] bslib_0.4.2 purrr_1.0.1 sf_1.0-12
[7] colorspace_2.1-0 vctrs_0.6.1 generics_0.1.3
[10] htmltools_0.5.4 stars_0.6-1 yaml_2.3.7
[13] utf8_1.2.3 rlang_1.1.0 e1071_1.7-13
[16] jquerylib_0.1.4 pillar_1.9.0 glue_1.6.2
[19] withr_2.5.0 DBI_1.1.3 lifecycle_1.0.3
[22] munsell_0.5.0 gtable_0.3.3 ragg_1.2.5
[25] codetools_0.2-19 memoise_2.0.1 evaluate_0.20
[28] labeling_0.4.2 knitr_1.42 fastmap_1.1.1
[31] parallel_4.2.3 class_7.3-21 fansi_1.0.4
[34] highr_0.10 Rcpp_1.0.10 KernSmooth_2.23-20
[37] scales_1.2.1 classInt_0.4-9 lwgeom_0.2-11
[40] cachem_1.0.7 d6geodata_0.0.0.9000 jsonlite_1.8.4
[43] abind_1.4-5 farver_2.1.1 systemfonts_1.0.4
[46] textshaping_0.3.6 distill_1.5 ggplot2_3.4.2
[49] digest_0.6.31 dplyr_1.1.1 grid_4.2.3
[52] cli_3.6.0 tools_4.2.3 magrittr_2.0.3
[55] sass_0.4.5 proxy_0.4-27 tibble_3.2.1
[58] tidyr_1.3.0 pkgconfig_2.0.3 downlit_0.4.2
[61] xml2_1.3.3 timechange_0.2.0 lubridate_1.9.2
[64] gt_0.9.0 rmarkdown_2.21 rstudioapi_0.14
[67] R6_2.5.1 units_0.8-1 compiler_4.2.3
For attribution, please cite this work as
Wenzler-Meya (2023, May 8). Ecological Dynamics: human-modification-index world 2016. Retrieved from https://ecodynizw.github.io/posts_geodata/human-modification-index_world_2016_1km_mollweide_tif/
BibTeX citation
@misc{wenzler-meya2023human-modification-index, author = {Wenzler-Meya, Moritz}, title = {Ecological Dynamics: human-modification-index world 2016}, url = {https://ecodynizw.github.io/posts_geodata/human-modification-index_world_2016_1km_mollweide_tif/}, year = {2023} }