sp_plot: Plot methods for spatial data with attributes

In kongdd/latticeGrob: Lattice Layers Functions

Plot methods for spatial data with attributes

Description

Lattice (trellis) plot methods for spatial data with attributes

Usage

sp_plot(
  grid,
  df = grid@data,
  zcols,
  formula = NULL,
  df.mask = NULL,
  brks,
  cols,
  strip = FALSE,
  strip.factors = NULL,
  toFactor = FALSE,
  panel.titles_full = NULL,
  panel = panel.spatial,
  xlim = NULL,
  ylim = NULL,
  unit = "",
  unit.adj = 0.3,
  area.weighted = FALSE,
  colorkey = TRUE,
  key.space = "right",
  key.height = 0.98,
  key.num2factor = FALSE,
  interpolate = FALSE,
  lgd.title = NULL,
  sp.layout = NULL,
  layout = NULL,
  NO_begin = 1,
  cex.lgd = 1.3,
  par.strip.text = NULL,
  par.settings = opt_trellis_default,
  par.settings2 = list(axis.line = list(col = "transparent")),
  ...
)

Arguments

df	data.table object, with columns e.g. lon, lat, and others
formula	a formula of the form z ~ s1 + s2 | g1 * g2 * ..., where z is a numeric response, and x, y are numeric values evaluated on a rectangular grid. g1, g2, ... are optional conditional variables, and must be either factors or shingles if present.
df.mask	NULL or same length data.table as df, with the columns of mask and same group variabes as df. mask is a boolean vector, which is used to distinguish significant pixels. Note that factor levels should be same for grouped variables in df and df.mask.
brks	either a numeric vector of two or more unique cut points to convert values in df into factor.
cols	corresponding colors of every break interval
panel.titles_full	string or expression vectors of panel titles, default NULL. If provided, group names in df will be overwritten.
panel	panel function used to create the display, as described in xyplot
xlim, ylim	The limits of x and y
colorkey	Boolean or list returned by get_colorkey(). list object can be passed to draw.colorkey() directly.
sp.layout	NULL or list; see notes below
NO_begin	beginning NO of the first panel
...	Further arguments may be supplied. Some are processed by levelplot or contourplot, and those that are unrecognized are passed on to the panel function.
pars	parameters controlling the position of histogram and panel titles, e.g. list(title = list(x=77, y=39, cex=1.5), hist = list(origin.x=77, origin.y=28)).
SpatialPixel	corresponding SpatialPixel object of df If mask present in df, df.mask will be ignored.

Note

parameter panel.title change to panel.titles_full

• panel.titles_full is for tags.

• strip.factors is for strip factors

See Also

sp::spplot(), lattice::levelplot()

Examples

library(Ipaper)
library(lattice)

set_font()
data("grid_avhrr")
pars = list(title = list(x=77, y=39, cex=1.2))

trellis.par.set("add.text" = list(fontfamily = get_family(), cex = 2))
p <- sp_plot(grid_avhrr,
             pars = pars,
             interpolate = FALSE) +
    layer_barchart(x = 0.05, y = 0.15, width = 0.25) +
    layer_latFreq(zlim_ratio = c(0, 1), bbox = c(0.8, 1, 0, 1)) +
    layer_statistic(x = 0.5, y = 0.6, FUN = weightedMedian) +
    layer_signPerc(x = 0.05, y = 0.6) +
    layer_signDist()
write_fig(p, show = FALSE)
# write_fig(p, "ex-sp_plot1.pdf", 9.8, 5)

## levelplot stype
df = grid_avhrr@data %>% data.frame() %>%
    list(a = ., b = .) %>% melt_list("type")
sp_plot(grid_avhrr, df,
              formula = X1982 ~ lon+lat | type,
              aspect = 0.5, pars = pars) +
    layer_barchart(x = 0.05, y = 0.15, width = 0.25) +
    layer_latFreq(zlim_ratio = c(0, 1), bbox = c(0.9, 1, 0, 1)) +
    layer_statistic(x = 0.5, y = 0.6, FUN = weightedMedian) +
    layer_signPerc(x = 0.05, y = 0.6) +
    layer_signDist()
# write_fig(p2 , "ex-sp_plot2.pdf", 6, 5)
## show strip
sp_plot(grid_avhrr, df, zcols = 2,
              # formula = X1982 ~ lon+lat | type,
              strip = TRUE,
              par.settings2 = list(axis.line = list(col = "black")),
              aspect = 0.5, pars = pars)
# write_fig(p3 , "ex-sp_plot3.pdf", 6, 5)

kongdd/latticeGrob documentation built on March 30, 2024, 3:35 a.m.