[R-sig-Geo] How to identify the different discrete classes from a raster of land cover data (tif).

[Manuel Spínola]

Dear list members,

I am working with a .tif file from the Copernicus Global Land Service with
land cover data.  The file has 23 discrete classes but the raster shows a
continuous range of values (0 to 255).

r =
raster(W100N20_PROBAV_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tif)

class      : RasterLayer
dimensions : 20160, 20160, 406425600  (nrow, ncol, ncell)
resolution : 0.0009920635, 0.0009920635  (x, y)
extent     : -100, -80, 0, 20  (xmin, xmax, ymin, ymax)
crs        : +proj=longlat +datum=WGS84 +no_defs
source     : /Users/manuelspinola/Documents/01-Manolo/R_OVS_material/landscape_ecology/datos_copernicus/W100N20_PROBAV_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tif
names      : W100N20_PROBAV_LC100_global_v3.0.1_2019.nrt_Discrete.Classification.map_EPSG.4326
values     : 0, 255  (min, max)



How can I recognize the different discrete classes included in the raster
representing each land cover type.

Manuel


-- 
*Manuel Spínola, Ph.D.*
Instituto Internacional en Conservación y Manejo de Vida Silvestre
Universidad Nacional
Apartado 1350-3000
Heredia
COSTA RICA
mspinola using una.cr <mspinola using una.ac.cr>
mspinola10 using gmail.com
Teléfono: (506) 8706 - 4662
Personal website: Lobito de río <https://sites.google.com/site/lobitoderio/>
Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/>

	[[alternative HTML version deleted]]