paths germany 2022

Germany 2022 100m epsg:3035
Moritz Wenzler-Meya (IZW Berlin)https://ecodynizw.github.io/
2023-01-04

column input
folder_name paths_germany_2022_100m_03035_tif
name paths_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
Session Info
[1] "2023-01-31 10:33:54 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    

Citation

For attribution, please cite this work as

Wenzler-Meya (2023, Jan. 4). Ecological Dynamics: paths germany 2022. Retrieved from https://ecodynizw.github.io/posts_geodata/paths_germany_2022_100m_03035_tif/

BibTeX citation

@misc{wenzler-meya2023paths,
  author = {Wenzler-Meya, Moritz},
  title = {Ecological Dynamics: paths germany 2022},
  url = {https://ecodynizw.github.io/posts_geodata/paths_germany_2022_100m_03035_tif/},
  year = {2023}
}