mtq <- mf_get_mtq()
# basic examples
# type = "base"
mf_map(mtq)
# type = "prop"
mf_map(mtq)
mf_map(mtq, var = "POP", type = "prop")
# type = "choro"
mf_map(mtq, var = "MED", type = "choro")
# type = "typo"
mf_map(mtq, "STATUS", "typo")
# type = "symb"
mf_map(mtq)
mf_map(mtq, "STATUS", "symb")
# type = "grad"
mf_map(mtq)
mf_map(mtq, var = "POP", type = "grad")
# type = "prop_choro"
mf_map(mtq)
mf_map(mtq, var = c("POP", "MED"), type = "prop_choro")
# type = "prop_typo"
mf_map(mtq)
mf_map(mtq, var = c("POP", "STATUS"), type = "prop_typo")
# type = "symb_choro
mf_map(mtq)
mf_map(mtq, var = c("STATUS", "MED"), type = "symb_choro")
# detailed examples
# type = "base"
mf_map(mtq, type = "base", col = "lightblue", lwd = 1.5, lty = 2)
# type = "prop"
mf_map(mtq)
mf_map(
x = mtq, var = "POP", type = "prop",
inches = .4, symbol = "circle", val_max = 90000,
col = "lightblue", border = "grey", lwd = 1,
leg_pos = "right", leg_title = "Population",
leg_title_cex = 1, leg_val_cex = .8, leg_val_rnd = 0,
leg_frame = TRUE, add = TRUE
)
# type = "choro"
mtq[6, "MED"] <- NA
mf_map(
x = mtq, var = "MED", type = "choro",
col_na = "grey80", pal = "Cividis",
breaks = "quantile", nbreaks = 4, border = "white",
lwd = .5, leg_pos = "topleft",
leg_title = "Median Income", leg_title_cex = 1.1,
leg_val_cex = 1, leg_val_rnd = -2, leg_no_data = "No data",
leg_frame = TRUE, leg_adj = c(0, -3)
)
# type = "typo"
mtq[4, "STATUS"] <- NA
mf_map(
x = mtq, var = "STATUS", type = "typo",
pal = c("red", "blue", "yellow"), lwd = 1.1,
val_order = c("Prefecture", "Sub-prefecture", "Simple municipality"),
col_na = "green", border = "brown",
leg_pos = "bottomleft",
leg_title = "Status", leg_title_cex = 1.1,
leg_val_cex = 1, leg_no_data = "No data",
leg_frame = TRUE, add = FALSE
)
# type = "symb"
mf_map(mtq)
mf_map(
x = mtq, var = "STATUS", type = "symb",
pch = c(21:23), pal = c("red1", "tan1", "khaki1"),
border = "grey20", cex = c(2, 1.5, 1), lwd = .5,
val_order = c("Prefecture", "Sub-prefecture", "Simple municipality"),
pch_na = 24, col_na = "blue", leg_frame = TRUE
)
# type = "grad"
mf_map(mtq)
mf_map(
x = mtq, var = "POP", type = "grad",
pch = 22, breaks = "quantile", nbreaks = 4, lwd = 2, border = "blue",
cex = c(.75, 1.5, 3, 5), col = "lightgreen"
)
# type = "prop_choro"
mf_map(mtq)
mf_map(
x = mtq, var = c("POP", "MED"), type = "prop_choro",
inches = .35, border = "tomato4",
val_max = 90000, symbol = "circle", col_na = "white", pal = "Cividis",
breaks = "equal", nbreaks = 4, lwd = 4,
leg_pos = "bottomleft",
leg_title = c("Population", "Median Income"),
leg_title_cex = c(0.8, 1),
leg_val_cex = c(.7, .9),
leg_val_rnd = c(0, 0),
leg_no_data = "No data",
leg_frame = c(TRUE, TRUE),
add = TRUE
)
# type = "prop_typo"
mf_map(mtq)
mf_map(
x = mtq, var = c("POP", "STATUS"), type = "prop_typo",
inches = .35, border = "tomato4",
val_max = 90000, symbol = "circle", col_na = "white", pal = "Dynamic",
lwd = 2,
leg_pos = c("bottomright", "bottomleft"),
leg_title = c("Population", "Municipality\nstatus"),
leg_title_cex = c(0.9, 0.9),
leg_val_cex = c(.7, .7),
val_order = c("Prefecture", "Sub-prefecture", "Simple municipality"),
leg_no_data = "No dada",
leg_frame = c(TRUE, TRUE),
add = TRUE
)
# type = "symb_choro"
mf_map(mtq)
mf_map(
x = mtq, c("STATUS", "MED"), type = "symb_choro",
pal = "Reds 3", breaks = "quantile", nbreaks = 4,
pch = 21:23, cex = c(3, 2, 1),
pch_na = 25, cex_na = 1.5, col_na = "blue",
val_order = c(
"Prefecture",
"Sub-prefecture",
"Simple municipality"
)
)
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