tree-cover-density berlin 2018

Berlin 2018 10m epsg:3035
Moritz Wenzler-Meya (IZW Berlin)https://ecodynizw.github.io/
2023-06-07

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
Session Info
[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         

Citation

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}
}