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The goal of mapindia is to simplify mapping of the Indian subcontinent. It has convenient functions for plotting choropleths, visualizing spatial data, and handling state/district codes.
Note: The 3-digit district codes were merged with the 2-digit state codes to create a 5-digit district code.
To install mapindia from CRAN:
You can install the development version of mapindia from GitHub with:
Plot a basic map of the Indian subcontinent with states and districts:
library(mapindia)
library(ggplot2)
library(patchwork)
states <- plot_india("states") +
geom_sf(fill= "antiquewhite") +
theme(panel.grid.major =
element_line(color = gray(.5), linetype = "dashed", linewidth = 0.2),
panel.background = element_rect(fill = "aliceblue"))
districts <- plot_india("districts") +
geom_sf(fill= "gray") +
theme(panel.grid.major =
element_line(color = gray(.5), linetype = "dashed", linewidth = 0.2),
panel.background = element_rect(fill = "aliceblue"))
states + districts
Visualize zones such as the Central or Eastern Zonal Councils:
central <- plot_india("states", include = .central, exclude = "UK", labels = TRUE) +
geom_sf(fill= "antiquewhite")
east <- plot_india("states", include = .east, labels = FALSE)
central + east
Visualize individual states such as the West Bengal or Tamil Nadu:
mh <- plot_india("districts", include = "MH")
tn <- plot_india("state", include = "Tamil Nadu", labels = FALSE)
mh + tn
Use your data for visualizations as well:
statepop2011 <- plot_india("states", data = statepop, values = "pop_2011") +
scale_fill_continuous(low = "blue", high = "yellow", guide = "none")
wbpop2011 <- plot_india("districts", data = wb_2011, values = "pop_2011", include = "WB") +
scale_fill_continuous(low = "green", high = "red", guide = "none")
statepop2011 + wbpop2011
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.