tree-cover-density berlin 2018

Berlin 2018 10m epsg:3035
Moritz Wenzler-Meya (IZW Berlin)https://ecodynizw.github.io/EcoDynIZW
2024-05-17

column input
folder_name tree-cover-density_berlin_2018_10m_03035_tif
name tree-cover-density_berlin_2018_10m_03035.tif
epsg 3035
crs +proj=laea +lat_0=52 +lon_0=10 +x_0=4321000 +y_0=3210000 +ellps=GRS80 +units=m +no_defs
year_of_data 2018
units_of_data percentage tree cover
resolution 10m
type_of_data continuous_numeric
type_of_file .tif
date_of_compile 2024-05-17
source copernicus
short_description cropped to berlin extent
modified NA
link_of_source https://land.copernicus.eu/
copyright © European Union, Copernicus Land Monitoring Service 2024, European Environment Agency (EEA)
Session Info
[1] "2024-05-17 13:13:51 CEST"
R version 4.3.3 (2024-02-29 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19044)

Matrix products: default


locale:
[1] LC_COLLATE=German_Germany.utf8  LC_CTYPE=German_Germany.utf8   
[3] LC_MONETARY=German_Germany.utf8 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_1.2.0

loaded via a namespace (and not attached):
 [1] gt_0.10.1            sass_0.4.9           utf8_1.2.4          
 [4] generics_0.1.3       tidyr_1.3.1          class_7.3-22        
 [7] xml2_1.3.6           KernSmooth_2.23-22   distill_1.6         
[10] digest_0.6.35        magrittr_2.0.3       timechange_0.3.0    
[13] evaluate_0.23        grid_4.3.3           fastmap_1.2.0       
[16] jsonlite_1.8.8       e1071_1.7-14         DBI_1.2.2           
[19] purrr_1.0.2          fansi_1.0.6          scales_1.3.0        
[22] codetools_0.2-19     textshaping_0.3.7    jquerylib_0.1.4     
[25] abind_1.4-5          cli_3.6.2            rlang_1.1.3         
[28] units_0.8-5          munsell_0.5.1        withr_3.0.0         
[31] cachem_1.1.0         yaml_2.3.8           parallel_4.3.3      
[34] tools_4.3.3          memoise_2.0.1        dplyr_1.1.4         
[37] colorspace_2.1-0     ggplot2_3.5.1        vctrs_0.6.5         
[40] R6_2.5.1             lubridate_1.9.3      proxy_0.4-27        
[43] lifecycle_1.0.4      classInt_0.4-10      ragg_1.3.0          
[46] pkgconfig_2.0.3      terra_1.7-71         pillar_1.9.0        
[49] bslib_0.7.0          gtable_0.3.5         glue_1.7.0          
[52] Rcpp_1.0.12          sf_1.0-16            systemfonts_1.0.6   
[55] highr_0.10           xfun_0.44            tibble_3.2.1        
[58] tidyselect_1.2.1     rstudioapi_0.15.0    knitr_1.46          
[61] farver_2.1.2         htmltools_0.5.8.1    labeling_0.4.3      
[64] rmarkdown_2.26       d6geodata_0.0.0.9000 compiler_4.3.3      
[67] downlit_0.4.3        stars_0.6-5         

Citation

For attribution, please cite this work as

Wenzler-Meya (2024, May 17). 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-meya2024tree-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 = {2024}
}