column | input |
---|---|
folder_name | tree-cover-density_berlin_2018_10m_03035_tif |
name | tree-cover-density_berlin_2018_10m_03035.tif |
crs | +proj=laea +lat_0=52 +lon_0=10 +x_0=4321000 +y_0=3210000 +ellps=GRS80 +units=m +no_defs |
epsg | 3035 |
year_of_data | 2018 |
units_of_data | tree cover density in percent |
resolution | 10m |
type_of_data | continuous_numeric |
type_of_file | .tif |
source | copernicus |
link_of_source | https://land.copernicus.eu/ |
date_of_compile | 2023-01-24 |
copyright | © European Union, Copernicus Land Monitoring Service 2023, European Environment Agency (EEA) |
short_description | cropped from tree_cover_density_2018_10m_3035 |
modified | NA |
[1] "2023-06-07 15:11:04 CEST"
R version 4.3.0 (2023-04-21 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
time zone: Europe/Berlin
tzcode source: internal
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] gt_0.9.0 sass_0.4.6 utf8_1.2.3
[4] generics_0.1.3 tidyr_1.3.0 lwgeom_0.2-13
[7] class_7.3-21 xml2_1.3.4 KernSmooth_2.23-20
[10] distill_1.5 digest_0.6.31 magrittr_2.0.3
[13] timechange_0.2.0 evaluate_0.21 grid_4.3.0
[16] fastmap_1.1.1 jsonlite_1.8.5 e1071_1.7-13
[19] DBI_1.1.3 purrr_1.0.1 fansi_1.0.4
[22] scales_1.2.1 codetools_0.2-19 textshaping_0.3.6
[25] jquerylib_0.1.4 abind_1.4-5 cli_3.6.1
[28] rlang_1.1.1 units_0.8-2 munsell_0.5.0
[31] withr_2.5.0 cachem_1.0.8 yaml_2.3.7
[34] parallel_4.3.0 tools_4.3.0 memoise_2.0.1
[37] dplyr_1.1.2 colorspace_2.1-0 ggplot2_3.4.2
[40] vctrs_0.6.2 R6_2.5.1 lubridate_1.9.2
[43] proxy_0.4-27 lifecycle_1.0.3 classInt_0.4-9
[46] ragg_1.2.5 pkgconfig_2.0.3 terra_1.7-29
[49] pillar_1.9.0 bslib_0.4.2 gtable_0.3.3
[52] glue_1.6.2 Rcpp_1.0.10 sf_1.0-13
[55] systemfonts_1.0.4 highr_0.10 xfun_0.39
[58] tibble_3.2.1 tidyselect_1.2.0 rstudioapi_0.14
[61] knitr_1.43 farver_2.1.1 htmltools_0.5.5
[64] labeling_0.4.2 rmarkdown_2.22 d6geodata_0.0.0.9000
[67] compiler_4.3.0 downlit_0.4.2 stars_0.6-1
For attribution, please cite this work as
Wenzler-Meya (2023, June 7). Ecological Dynamics: tree-cover-density berlin 2018. Retrieved from https://ecodynizw.github.io/posts_geodata/tree-cover-density_berlin_2018_10m_03035_tif/
BibTeX citation
@misc{wenzler-meya2023tree-cover-density, author = {Wenzler-Meya, Moritz}, title = {Ecological Dynamics: tree-cover-density berlin 2018}, url = {https://ecodynizw.github.io/posts_geodata/tree-cover-density_berlin_2018_10m_03035_tif/}, year = {2023} }