column | input |
---|---|
folder_name | distance-to-streets_atlas_2022_1m_03035_tif |
name | distance-to-streets_atlas_2022_1m_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 | m |
resolution | 1m |
type_of_data | continuous_numeric |
type_of_file | .tif |
source | bkg |
link_of_source | https://gdz.bkg.bund.de |
date_of_compile | 2022-12-12 |
copyright | © GeoBasis-DE / BKG (2022) |
short_description | NA |
modified | NA |
[1] "2023-03-01 16:57:32 CET"
R version 4.2.2 (2022-10-31 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 xfun_0.36 bslib_0.4.2
[4] purrr_1.0.1 sf_1.0-9 colorspace_2.1-0
[7] vctrs_0.5.2 generics_0.1.3 htmltools_0.5.4
[10] stars_0.6-0 yaml_2.3.6 utf8_1.2.3
[13] rlang_1.0.6 e1071_1.7-13 jquerylib_0.1.4
[16] pillar_1.8.1 glue_1.6.2 withr_2.5.0
[19] DBI_1.1.3 lifecycle_1.0.3 munsell_0.5.0
[22] gtable_0.3.1 ragg_1.2.5 memoise_2.0.1
[25] evaluate_0.20 labeling_0.4.2 knitr_1.42
[28] fastmap_1.1.0 parallel_4.2.2 class_7.3-20
[31] fansi_1.0.4 highr_0.10 Rcpp_1.0.10
[34] KernSmooth_2.23-20 scales_1.2.1 classInt_0.4-8
[37] cachem_1.0.6 lwgeom_0.2-11 jsonlite_1.8.4
[40] abind_1.4-5 farver_2.1.1 systemfonts_1.0.4
[43] textshaping_0.3.6 distill_1.5 ggplot2_3.4.1
[46] digest_0.6.31 dplyr_1.1.0 grid_4.2.2
[49] cli_3.6.0 tools_4.2.2 magrittr_2.0.3
[52] sass_0.4.5 proxy_0.4-27 tibble_3.1.8
[55] tidyr_1.3.0 pkgconfig_2.0.3 downlit_0.4.2
[58] gt_0.8.0 rmarkdown_2.20 rstudioapi_0.14
[61] R6_2.5.1 units_0.8-1 compiler_4.2.2
For attribution, please cite this work as
Wenzler-Meya (2022, Dec. 13). Ecological Dynamics: distance-to-streets atlas 2022. Retrieved from https://ecodynizw.github.io/posts_geodata/distance-to-streets_atlas_2022_1m_03035_tif/
BibTeX citation
@misc{wenzler-meya2022distance-to-streets, author = {Wenzler-Meya, Moritz}, title = {Ecological Dynamics: distance-to-streets atlas 2022}, url = {https://ecodynizw.github.io/posts_geodata/distance-to-streets_atlas_2022_1m_03035_tif/}, year = {2022} }