Karmana

Karmana.jl is a library which implements utilities to munge CMIE CPHS data and visualize it. It exposes multiple, orthogonal capabilities.

Karmana's visualization utilities are built on the Makie.jl ecosystem, including the GeoMakie.jl package.

The package is built to automate some processes to:

• Retrieve and process data from the CMIE CPHS and Capex databases
• Plot this data on maps of India.
• Create coherent and good-looking posters of plots quickly and easily.

Installing

Karmana.jl is meant to work with CMIE CPHS data, and is not meant to be released to the General registry.

using Pkg
Pkg.add(url = "https://github.com/xKDR/Karmana.jl")

To add a specific branch or tag, provide the rev = "branch_name" keyword argument.

Usage

Karmana.jl implements several orthogonal functions. For more information, please see the documentation API page, or by running ?funcname in the REPL to access Julia's help mode.

Plotting and visualization

• create_page(page_size::Symbol, args...; kwargs...): Creates a Makie.jl figure which is optimized for a figure of the appropriate size, along with a "header" row (GridLayout) which has a logo and poster title, and a "footer" row (GridLayout) which has a description Label, space for a legend or colorbar, and a QR code with a customizable link. See the documentation for more!
• indiaoutline!(admin_level::Symbol, ids, vals): A Makie.jl recipe which is able to plot at one of three admin levels (:State, :HR, and :District) - and display the other admin levels' borders.
• TernaryColormap(xgrad, ygrad, zgrad), which creates a "ternary colormap" that can be called on x, y, z values for which x + y + z = 1, and returns a ternary interpolated version of the color at the specified coordinates on the plane.

Global variables

All of these variables are populated by Karmana.__init__(), and can their values can be accessed by, for example, Karmana.state_df[] (note the empty square brackets, which indicate that you're accessing the value of the Ref).

• state_df::Ref{DataFrame}: A DataFrame which holds geometry data and identification keys for India's states.
• hr_df::Ref{DataFrame}: A DataFrame which holds geometry data and identification keys for India's homogeneous regions, as defined by CMIE.
• district_df::Ref{DataFrame}: A DataFrame which holds geometry data and identification keys for India's districts.
• india_rivers::Ref{ArchGDAL.IGeometry}: An ArchGDAL.IGeometry which holds the intersection of the rivers of the world with the border of India.

CPHS helper functions

Karmana has several CPHS helper functions to parse data.

Capex helper functions

Karmana has some parsers for CMIE Capex data lat/long strings.

Spatial utilities

Karmana has some geodetic/spatial utilities, like annular_ring and line_to_geodetic_width_poly. See the docs and examples for more information!

Environment variables

Karmana can be configured by the following environment variables:

• KARMANA_DISTRICT_SHAPEFILE which points to a shapefile which Karmana should use to populate the district, HR and state dataframes. Note that there are a lot of assumptions made on the structure of the shapefile - look at the code of Karmana.__init__() to see what these are.
• KARMANA_APPLY_SHAPEFILE_PATCHES indicates whether to apply certain patches to the shapefile ("true") or not ("false"). Defaults to true.
• KARMANA_RIVER_SHAPEFILE indicates the path to some shapefile which contains a selection of rivers (usually as linestrings). If not found, Karmana will download this data from UNESCO.