## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----setup-------------------------------------------------------------------- library(vaster) ## ----------------------------------------------------------------------------- ## define a simple 4x3 grid dimension <- c(4, 3) # 4 columns, 3 rows extent <- c(0, 4, 0, 3) # xmin=0, xmax=4, ymin=0, ymax=3 n_cell(dimension) n_col(dimension) n_row(dimension) ## ----------------------------------------------------------------------------- ## single cell xy_from_cell(dimension, extent, 1) ## multiple cells xy_from_cell(dimension, extent, c(1, 4, 9, 12)) ## all cells xy_from_cell(dimension, extent, seq_len(n_cell(dimension))) ## ----------------------------------------------------------------------------- x_from_cell(dimension, extent, 1:4) y_from_cell(dimension, extent, c(1, 5, 9)) ## ----------------------------------------------------------------------------- ## coordinates at cell centres xy <- cbind(c(0.5, 1.5, 2.5), c(2.5, 1.5, 0.5)) cell_from_xy(dimension, extent, xy) ## coordinates outside the grid return NA xy_outside <- cbind(c(-1, 5), c(1.5, 1.5)) cell_from_xy(dimension, extent, xy_outside) ## coordinates on cell boundaries go to the cell below/right ## except at the grid edge where they go to the last cell xy_edge <- cbind(c(1.0, 4.0), c(2.0, 0.0)) cell_from_xy(dimension, extent, xy_edge) ## ----------------------------------------------------------------------------- ## get row and column for cells rowcol_from_cell(dimension, extent, 1:12) ## ----------------------------------------------------------------------------- row_from_cell(dimension, 1:12) col_from_cell(dimension, 1:12) ## ----------------------------------------------------------------------------- ## single cell at row 2, column 3 cell_from_row_col(dimension, row = 2, col = 3) ## multiple cells (vectorized, with recycling) cell_from_row_col(dimension, row = 1:3, col = 1:3) # diagonal cells ## ----------------------------------------------------------------------------- ## all cells in row 2 cell_from_row(dimension, 2) ## all cells in column 3 cell_from_col(dimension, 3) ## ----------------------------------------------------------------------------- ## all cells in rows 1-2 AND columns 2-3 cell_from_rowcol_combine(dimension, row = 1:2, col = 2:3) ## ----------------------------------------------------------------------------- ## x coordinate of each column (centre) x_from_col(dimension, extent, 1:4) ## y coordinate of each row (centre) y_from_row(dimension, extent, 1:3) ## which column contains this x coordinate col_from_x(dimension, extent, c(0.5, 2.5, 3.9)) ## which row contains this y coordinate row_from_y(dimension, extent, c(2.5, 1.5, 0.1)) ## ----------------------------------------------------------------------------- ## extent of a single cell extent_from_cell(dimension, extent, 1) ## extent covering multiple cells extent_from_cell(dimension, extent, c(1, 4)) # top row extent_from_cell(dimension, extent, c(1, 12)) # full grid ## ----------------------------------------------------------------------------- ## cells within a sub-extent sub_extent <- c(1, 3, 1, 2) # xmin=1, xmax=3, ymin=1, ymax=2 cell_from_extent(dimension, extent, sub_extent) ## ----------------------------------------------------------------------------- ## invalid cell numbers xy_from_cell(dimension, extent, c(0, 13, -1)) ## coordinates outside grid cell_from_xy(dimension, extent, cbind(c(-1, 10), c(1, 1))) ## invalid row/column cell_from_row_col(dimension, row = 0, col = 1) cell_from_row_col(dimension, row = 4, col = 1) # only 3 rows exist ## ----------------------------------------------------------------------------- set.seed(42) dimension <- c(5, 4) extent <- c(0, 10, 0, 8) ## get cell centres centres <- xy_from_cell(dimension, extent, seq_len(n_cell(dimension))) ## add random jitter within each cell res <- c(x_res(dimension, extent), y_res(dimension, extent)) jitter_x <- runif(n_cell(dimension), -res[1]/2, res[1]/2) jitter_y <- runif(n_cell(dimension), -res[2]/2, res[2]/2) sample_points <- cbind( x = centres[, 1] + jitter_x, y = centres[, 2] + jitter_y ) head(sample_points) ## verify all points fall in expected cells all(cell_from_xy(dimension, extent, sample_points) == seq_len(n_cell(dimension)))