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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,222 @@ | ||
| test_rect = function(x, y, width, height, bbx) { | ||
| library(grid) | ||
| grid.newpage() | ||
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| asp = tmaptools::get_asp_ratio(bbx) | ||
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| if (asp > 1) { | ||
| pushViewport(viewport(width = unit(1, "snpc"), height = unit(1/asp, "snpc"))) | ||
| } else { | ||
| pushViewport(viewport(width = unit(asp, "snpc"), height = unit(1, "snpc"))) | ||
| } | ||
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| pushViewport(viewport(xscale = bbx[c(1,3)], yscale = bbx[c(2,4)])) | ||
| grid.rect() | ||
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| mapply(function(xi,yi,wi,hi) { | ||
| grid.rect(x = unit(xi, "native"), y = unit(yi, "native"), width = unit(wi, "native"), height = unit(hi, "native"), gp = gpar(fill = "orange", col = "black")) | ||
| }, x, y, width, height) | ||
| upViewport(2) | ||
| } | ||
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| test_poly = function(xs, ys, bbx) { | ||
| library(grid) | ||
| grid.newpage() | ||
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| asp = tmaptools::get_asp_ratio(bbx) | ||
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| if (asp > 1) { | ||
| pushViewport(viewport(width = unit(1, "snpc"), height = unit(1/asp, "snpc"))) | ||
| } else { | ||
| pushViewport(viewport(width = unit(asp, "snpc"), height = unit(1, "snpc"))) | ||
| } | ||
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| pushViewport(viewport(xscale = bbx[c(1,3)], yscale = bbx[c(2,4)])) | ||
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| grid.rect() | ||
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| grid.path(x = unit(xs, "native"), y = unit(ys, "native"), gp = gpar(fill = "orange", col = "black")) | ||
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| upViewport(2) | ||
| } | ||
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| # function adapted from car::pointLabel | ||
| # also used in tmap3 | ||
| # changes are documented | ||
| # input: x, y, width and height of rectangles, bounding box (in 'sf' format') | ||
| pointLabel2 <- function (x, y, width, height, bbx, | ||
| method = c("SANN", "GA"), | ||
| gap = 0, | ||
| trace = FALSE, ...) { | ||
|
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| asp = tmaptools::get_asp_ratio(bbx) | ||
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| toUnityCoords <- function(xy) { | ||
| if (asp > 1) { | ||
| list(x = (xy$x - bbx[1])/(bbx[3] - bbx[1]) * asp, | ||
| y = (xy$y - bbx[2])/(bbx[4] - bbx[2])) | ||
| } else { | ||
| list(x = (xy$x - bbx[1])/(bbx[3] - bbx[1]), | ||
| y = (xy$y - bbx[2])/(bbx[4] - bbx[2])/asp) | ||
| } | ||
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| } | ||
| toUserCoords <- function(xy) { | ||
| if (asp > 1) { | ||
| list(x = bbx[1] + xy$x/asp * (bbx[3] - bbx[1]), | ||
| y = bbx[2] + xy$y * (bbx[4] - bbx[2])) | ||
| } else { | ||
| list(x = bbx[1] + xy$x * (bbx[3] - bbx[1]), | ||
| y = bbx[2] + xy$y * asp * (bbx[4] - bbx[2])) | ||
| } | ||
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| } | ||
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| z <- xy.coords(x, y, recycle = TRUE) | ||
| z <- toUnityCoords(z) | ||
| x <- z$x | ||
| y <- z$y | ||
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| # CHANGED: width and height are specified by user | ||
| width <- ((width + gap) / (bbx[3] - bbx[1])) * asp | ||
| height <- ((height + gap) / (bbx[4] - bbx[2])) / asp | ||
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| method <- match.arg(method) | ||
| n_labels <- length(x) | ||
|
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| gen_offset <- function(code) c(-1, -1, -1, 0, 0, 1, 1, 1)[code] * | ||
| (width/2) + (0+1i) * c(-1, 0, 1, -1, 1, -1, 0, 1)[code] * | ||
| (height/2) | ||
| rect_intersect <- function(xy1, offset1, xy2, offset2) { | ||
| w <- pmin(Re(xy1 + offset1/2), Re(xy2 + offset2/2)) - | ||
| pmax(Re(xy1 - offset1/2), Re(xy2 - offset2/2)) | ||
| h <- pmin(Im(xy1 + offset1/2), Im(xy2 + offset2/2)) - | ||
| pmax(Im(xy1 - offset1/2), Im(xy2 - offset2/2)) | ||
| w[w <= 0] <- 0 | ||
| h[h <= 0] <- 0 | ||
| w * h | ||
| } | ||
|
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| objective <- function(gene) { | ||
| offset <- gen_offset(gene) | ||
| if (!is.null(rectidx1)) | ||
| area <- sum(rect_intersect(xy[rectidx1] + offset[rectidx1], | ||
| rectv[rectidx1], xy[rectidx2] + offset[rectidx2], | ||
| rectv[rectidx2])) | ||
| else area <- 0 | ||
| n_outside <- sum(Re(xy + offset - rectv/2) < 0 | Re(xy + | ||
| offset + rectv/2) > asp | Im(xy + offset - rectv/2) < | ||
| 0 | Im(xy + offset + rectv/2) > 1/asp) | ||
| res <- 1000 * area + n_outside | ||
| res | ||
| } | ||
| xy <- x + (0+1i) * y | ||
| rectv <- width + (0+1i) * height | ||
| rectidx1 <- rectidx2 <- array(0, (length(x)^2 - length(x))/2) | ||
| k <- 0 | ||
| for (i in 1:length(x)) for (j in seq(len = (i - 1))) { | ||
| k <- k + 1 | ||
| rectidx1[k] <- i | ||
| rectidx2[k] <- j | ||
| } | ||
| canIntersect <- rect_intersect(xy[rectidx1], 2 * rectv[rectidx1], | ||
| xy[rectidx2], 2 * rectv[rectidx2]) > 0 | ||
| rectidx1 <- rectidx1[canIntersect] | ||
| rectidx2 <- rectidx2[canIntersect] | ||
| if (trace) | ||
| cat("possible intersects =", length(rectidx1), "\n") | ||
| if (trace) | ||
| cat("portion covered =", sum(rect_intersect(xy, rectv, | ||
| xy, rectv)), "\n") | ||
| GA <- function() { | ||
| n_startgenes <- 1000 | ||
| n_bestgenes <- 30 | ||
| prob <- 0.2 | ||
| mutate <- function(gene) { | ||
| offset <- gen_offset(gene) | ||
| doesIntersect <- rect_intersect(xy[rectidx1] + offset[rectidx1], | ||
| rectv[rectidx1], xy[rectidx2] + offset[rectidx2], | ||
| rectv[rectidx2]) > 0 | ||
| for (i in which(doesIntersect)) { | ||
| gene[rectidx1[i]] <- sample(1:8, 1) | ||
| } | ||
| for (i in seq(along = gene)) if (runif(1) <= prob) | ||
| gene[i] <- sample(1:8, 1) | ||
| gene | ||
| } | ||
| crossbreed <- function(g1, g2) ifelse(sample(c(0, 1), | ||
| length(g1), replace = TRUE) > 0.5, g1, g2) | ||
| genes <- matrix(sample(1:8, n_labels * n_startgenes, | ||
| replace = TRUE), n_startgenes, n_labels) | ||
| for (i in 1:10) { | ||
| scores <- array(0, NROW(genes)) | ||
| for (j in 1:NROW(genes)) scores[j] <- objective(genes[j, | ||
| ]) | ||
| rankings <- order(scores) | ||
| genes <- genes[rankings, ] | ||
| bestgenes <- genes[1:n_bestgenes, ] | ||
| bestscore <- scores[rankings][1] | ||
| if (bestscore == 0) { | ||
| if (trace) | ||
| cat("overlap area =", bestscore, "\n") | ||
| break | ||
| } | ||
| genes <- matrix(0, n_bestgenes^2, n_labels) | ||
| for (j in 1:n_bestgenes) for (k in 1:n_bestgenes) genes[n_bestgenes * | ||
| (j - 1) + k, ] <- mutate(crossbreed(bestgenes[j, | ||
| ], bestgenes[k, ])) | ||
| genes <- rbind(bestgenes, genes) | ||
| if (trace) | ||
| cat("overlap area =", bestscore, "\n") | ||
| } | ||
| nx <- Re(xy + gen_offset(bestgenes[1, ])) | ||
| ny <- Im(xy + gen_offset(bestgenes[1, ])) | ||
| list(x = nx, y = ny) | ||
| } | ||
| SANN <- function() { | ||
| gene <- rep(8, n_labels) | ||
| score <- objective(gene) | ||
| bestgene <- gene | ||
| bestscore <- score | ||
| T <- 2.5 | ||
| for (i in 1:50) { | ||
| k <- 1 | ||
| for (j in 1:50) { | ||
| newgene <- gene | ||
| newgene[sample(1:n_labels, 1)] <- sample(1:8, | ||
| 1) | ||
| newscore <- objective(newgene) | ||
| if (newscore <= score || runif(1) < exp((score - | ||
| newscore)/T)) { | ||
| k <- k + 1 | ||
| score <- newscore | ||
| gene <- newgene | ||
| } | ||
| if (score <= bestscore) { | ||
| bestscore <- score | ||
| bestgene <- gene | ||
| } | ||
| if (bestscore == 0 || k == 10) | ||
| break | ||
| } | ||
| if (bestscore == 0) | ||
| break | ||
| if (trace) | ||
| cat("overlap area =", bestscore, "\n") | ||
| T <- 0.9 * T | ||
| } | ||
| if (trace) | ||
| cat("overlap area =", bestscore, "\n") | ||
| nx <- Re(xy + gen_offset(bestgene)) | ||
| ny <- Im(xy + gen_offset(bestgene)) | ||
| list(x = nx, y = ny) | ||
| } | ||
| if (method == "SANN") | ||
| xy <- SANN() | ||
| else xy <- GA() | ||
| xy <- toUserCoords(xy) | ||
| invisible(xy) | ||
| } |
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