get_pixels: Extract observed data for use in a classification (training...
In azvoleff/teamlucc: TEAM land use and cover change data processing toolkit

Extract observed data for use in a classification (training or testing)

1	get_pixels(x, polys, class_col, training = 1, src = "none")

`x`	a `Raster*` object from which observed data will be extracted. The data will be extracted from each layer in a `RasterBrick` or `RasterStack`.
`polys`	a `SpatialPolygonsDataFrame` with polygons, each of which has been assigned to a particular class (using the values in `class_col`)
`class_col`	the name of the column containing the response variable (for example the land cover type of each pixel)
`training`	indicator of which polygons to use in training. Can be: 1) a string giving the name of a column indicating whether each polygon is to be used in training (rows equal to 1) or in testing (rows equal to FALSE), or 2) a logical vector of length equal to length(polys), or 3) a number between 0 and 1 indicating the fraction of the polygons to be randomly selected for use in training.
`src`	name of this data source. Useful when gathering training data from multiple images.

a link{pixel_data} object will contain the the @examples set.seed(1) train_data <- get_pixels(L5TSR_1986, L5TSR_1986_2001_training, "class_1986", training=.6)

azvoleff/teamlucc documentation built on May 11, 2019, 5:19 p.m.