knitr::opts_chunk$set( collapse = TRUE, dpi = 200, comment = "#>" )
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:
#| label: cran #| eval: false install.packages("mapindia")
You can install the development version of mapindia from GitHub with:
#| label: github #| eval: false # install.packages("pak") pak::pak("shubhamdutta26/mapindia")
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
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