tri europe 2016

Europe epsg:3035 100m 2016
Moritz Wenzler-Meya (IZW Berlin)https://ecodynizw.github.io/EcoDynIZW
2023-11-08

column input
folder_name tri_europe_2016_100m_03035_tif
name tri_europe_2016_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 2016
units_of_data mean of the absolute differences between the value of a cell and its 8 surrounding cells
resolution 100m
type_of_data continuous_numeric
type_of_file .tif
source dlr
link_of_source https://download.geoservice.dlr.de/TDM90/
date_of_compile 2023-11-08
copyright [1] Wessel, B., Huber, M., Wohlfart, C., Marschalk, U., Kosmann, D., Roth, A.(2018): Accuracy Assessment of the Global TanDEM-X Digital Elevation Model with GPS Data. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 139, pp. 171-182. [2] Rizzoli, P., Martone, M., Gonzalez, C., Wecklich, C., Borla Tridon, D., Bräutigam, B., Bachmann, M., Schulze, D., Fritz, T., Huber, M., Wessel, B., Krieger, G., Zink, M., and Moreira, A. (2017): Generation and performance assessment of the global TanDEM-X digital elevation model. ISPRS Journal of Photogrammetry and Remote Sensing, Vol 132, pp. 119-139.
short_description made from dem europe 100m
modified NA
Session Info
[1] "2023-11-08 10:37:16 CET"
R version 4.3.1 (2023-06-16 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_1.1.3

loaded via a namespace (and not attached):
 [1] gt_0.10.0            sass_0.4.7           utf8_1.2.4          
 [4] generics_0.1.3       tidyr_1.3.0          class_7.3-22        
 [7] xml2_1.3.5           KernSmooth_2.23-21   lattice_0.21-8      
[10] distill_1.6          digest_0.6.33        magrittr_2.0.3      
[13] timechange_0.2.0     evaluate_0.22        grid_4.3.1          
[16] fastmap_1.1.1        jsonlite_1.8.7       e1071_1.7-13        
[19] DBI_1.1.3            purrr_1.0.2          fansi_1.0.5         
[22] scales_1.2.1         codetools_0.2-19     textshaping_0.3.7   
[25] jquerylib_0.1.4      abind_1.4-5          cli_3.6.1           
[28] rlang_1.1.1          units_0.8-4          munsell_0.5.0       
[31] withr_2.5.2          cachem_1.0.8         yaml_2.3.7          
[34] raster_3.6-26        parallel_4.3.1       tools_4.3.1         
[37] memoise_2.0.1        dplyr_1.1.3          colorspace_2.1-0    
[40] ggplot2_3.4.4        vctrs_0.6.4          R6_2.5.1            
[43] lubridate_1.9.3      proxy_0.4-27         lifecycle_1.0.3     
[46] classInt_0.4-10      ragg_1.2.6           pkgconfig_2.0.3     
[49] terra_1.7-55         pillar_1.9.0         bslib_0.5.1         
[52] gtable_0.3.4         glue_1.6.2           Rcpp_1.0.11         
[55] sf_1.0-14            systemfonts_1.0.5    highr_0.10          
[58] xfun_0.40            tibble_3.2.1         tidyselect_1.2.0    
[61] rstudioapi_0.15.0    knitr_1.45           farver_2.1.1        
[64] htmltools_0.5.6.1    labeling_0.4.3       rmarkdown_2.25      
[67] d6geodata_0.0.0.9000 compiler_4.3.1       downlit_0.4.3       
[70] sp_2.1-1             stars_0.6-4         

Citation

For attribution, please cite this work as

Wenzler-Meya (2023, Nov. 8). Ecological Dynamics: tri europe 2016. Retrieved from https://ecodynizw.github.io/posts_geodata/tri_europe_2016_100m_03035_tif/

BibTeX citation

@misc{wenzler-meya2023tri,
  author = {Wenzler-Meya, Moritz},
  title = {Ecological Dynamics: tri europe 2016},
  url = {https://ecodynizw.github.io/posts_geodata/tri_europe_2016_100m_03035_tif/},
  year = {2023}
}