Description Usage Arguments Value Author(s) Examples
View source: R/lucC_result_measures.R
Provide a data.frame with main statistical measures to resultd from LUC Calculus application such as: Area (km2), Cumulative Sum, Relative Frequency and Cumulative Relative Frequency
1 |
data_mtx |
Matrix. A matrix with values obtained from predicates RECUR, EVOLVE, CONVERT or HOLDS |
data_frequency |
Dataframe. A frequency table of a categorical variable from a data set |
pixel_resolution |
Numeric. Is a spatial resolution of the pixel. Default is 250 meters considering MODIS 250 m. See more at https://modis.gsfc.nasa.gov/about/specifications.php. |
Data frame with statistical measures
Adeline M. Maciel
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | ## Not run:
library(lucCalculus)
file <- c(system.file("extdata/raster/rasterSample.tif", package = "lucCalculus"))
rb_class <- raster::brick(file)
my_label <- c("Degradation", "Fallow_Cotton", "Forest", "Pasture", "Soy_Corn", "Soy_Cotton",
"Soy_Fallow", "Soy_Millet", "Soy_Sunflower", "Sugarcane", "Urban_Area", "Water")
my_timeline <- c("2001-09-01", "2002-09-01", "2003-09-01", "2004-09-01", "2005-09-01",
"2006-09-01", "2007-09-01", "2008-09-01", "2009-09-01", "2010-09-01",
"2011-09-01", "2012-09-01", "2013-09-01", "2014-09-01", "2015-09-01",
"2016-09-01")
b <- lucC_pred_recur(raster_obj = rb_class, raster_class = "Forest",
time_interval1 = c("2001-09-01","2001-09-01"),
time_interval2 = c("2002-09-01","2016-09-01"),
label = my_label, timeline = my_timeline)
lucC_result_measures(data_mtx = b, pixel_resolution = 232)
## End(Not run)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.