column | input |
---|---|
folder_name | roads_germany_2022_100m_03035_tif |
name | roads_germany_2022_100m_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 | 2022 |
units_of_data | binary |
resolution | 100m |
type_of_data | binary_categorical |
type_of_file | .tif |
source | bkg |
link_of_source | https://gdz.bkg.bund.de |
date_of_compile | 2023-01-04 |
copyright | © GeoBasis-DE / BKG (2023) |
short_description | created from digital_base_dlm_germany_2022_25832_BKG_shp |
modified | NA |
[1] "2023-01-31 10:38:05 CET"
R version 4.2.1 (2022-06-23 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] tidyselect_1.2.0 terra_1.7-3 xfun_0.36
[4] bslib_0.4.2 purrr_1.0.1 sf_1.0-9
[7] colorspace_2.1-0 vctrs_0.5.2 generics_0.1.3
[10] htmltools_0.5.4 stars_0.6-0 yaml_2.3.7
[13] utf8_1.2.2 rlang_1.0.6 e1071_1.7-12
[16] jquerylib_0.1.4 pillar_1.8.1 glue_1.6.2
[19] withr_2.5.0 DBI_1.1.3 lifecycle_1.0.3
[22] munsell_0.5.0 gtable_0.3.1 ragg_1.2.5
[25] codetools_0.2-18 memoise_2.0.1 evaluate_0.20
[28] knitr_1.42 fastmap_1.1.0 parallel_4.2.1
[31] class_7.3-20 fansi_1.0.4 highr_0.10
[34] Rcpp_1.0.10 KernSmooth_2.23-20 scales_1.2.1
[37] classInt_0.4-8 lwgeom_0.2-11 cachem_1.0.6
[40] jsonlite_1.8.4 abind_1.4-5 farver_2.1.1
[43] systemfonts_1.0.4 textshaping_0.3.6 distill_1.5
[46] ggplot2_3.4.0 digest_0.6.31 dplyr_1.0.10
[49] grid_4.2.1 cli_3.6.0 tools_4.2.1
[52] magrittr_2.0.3 sass_0.4.5 proxy_0.4-27
[55] tibble_3.1.8 tidyr_1.3.0 pkgconfig_2.0.3
[58] downlit_0.4.2 assertthat_0.2.1 gt_0.8.0
[61] rmarkdown_2.20 rstudioapi_0.14 R6_2.5.1
[64] units_0.8-1 compiler_4.2.1
For attribution, please cite this work as
Wenzler-Meya (2023, Jan. 4). Ecological Dynamics: roads germany 2022. Retrieved from https://ecodynizw.github.io/posts_geodata/roads_germany_2022_100m_03035_tif/
BibTeX citation
@misc{wenzler-meya2023roads, author = {Wenzler-Meya, Moritz}, title = {Ecological Dynamics: roads germany 2022}, url = {https://ecodynizw.github.io/posts_geodata/roads_germany_2022_100m_03035_tif/}, year = {2023} }