add normalize argument to st_crop

R/stars.R

@@ -326,7 +326,8 @@ st_cells_from_xy = function(x, xy) {
 
 #' return the cell index corresponding to the location of a set of points
 #' 
-#' return the cell index corresponding to the location of a set of points
+#' If the object has been cropped without normalization, then the indices return
+#' are relative to the original uncropped extent.  See \code{\link{st_crop}}
 #' @param x object of class \code{stars}
 #' @param sf object of class \code{sf} or \code{sfc}
 #' @examples

R/subset.R

@@ -194,6 +194,7 @@ st_intersects.bbox = function(x, y, ...) { # FIXME: segmentize first if geograph
 #' @param as_points logical; only relevant if \code{y} is of class \code{sf} or \code{sfc}: if \code{FALSE}, treat \code{x} as a set of points, else as a set of small polygons. Default: \code{TRUE} if \code{y} is two-dimensional, else \code{FALSE}; see Details
 #' @param ... ignored
 #' @param crop logical; if \code{TRUE}, the spatial extent of the returned object is cropped to still cover \code{obj}, if \code{FALSE}, the extent remains the same but cells outside \code{y} are given \code{NA} values.
+#' @param normalize logical; if \code{TRUE} then pass the cropped object to \code{\link{st_normalize}} before returning.
 #' @details for raster \code{x}, \code{st_crop} selects cells that intersect with \code{y}. 
 #' For intersection, are raster cells interpreted as points or as small polygons? 
 #' If \code{y} is of class \code{stars}, \code{x} raster cells are interpreted as points; if \code{y} is of class \code{bbox}, \code{x} cells are interpreted as cells (small polygons). Otherwise, if \code{as_points} is not given, cells are interpreted as points if \code{y} has a two-dimensional geometry.
@@ -250,7 +251,7 @@ st_intersects.bbox = function(x, y, ...) { # FIXME: segmentize first if geograph
 #' image(l7[bb,,,1], add = TRUE, col = sf.colors())
 #' plot(st_as_sfc(bb), add = TRUE, border = 'green', lwd = 2)
 st_crop.stars = function(x, y, ..., crop = TRUE, epsilon = sqrt(.Machine$double.eps), 
-		as_points = all(st_dimension(y) == 2, na.rm = TRUE)) {
+		as_points = all(st_dimension(y) == 2, na.rm = TRUE), normalize = FALSE) {
 	x = st_upfront(x) # put spatial dimensions up front; https://github.com/r-spatial/stars/issues/457
 	d = dim(x)
 	dm = st_dimensions(x)
@@ -307,6 +308,7 @@ st_crop.stars = function(x, y, ..., crop = TRUE, epsilon = sqrt(.Machine$double.
 		for (i in seq_along(x))
 			x[[i]][mask] = NA
 	}
+	if (normalize[1]) x = st_normalize(x)
 	x
 }