Go-cart-wasm
is a JS/WASM library for making flow-based cartograms (as described in "Gastner, Seguy, and More (2018). Fast flow-based algorithm for creating density-equalizing map projections. Proceedings of the National Academy of Sciences USA, 115:E2156-E2164"), purely in the browser.
This is a port of the reference implementation provided by the authors (however we needed to slightly modify some minor aspects of the code, and our modified version is located here).
The library is available as a JS module, and can be used as follows:
import initGoCart from 'go-cart-wasm';
initGoCart()
.then((GoCart) => {
// The GeoJSON containing the data to be transformed
const data = {
type: 'FeatureCollection',
features: ...
};
// The name of the field that contains the data on which the cartogram will be based
const fieldName = 'POP2021';
// Call the function that creates the cartogram
const dataCartogram = GoCart.makeCartogram(data, fieldName);
console.log(dataCartogram); // The resulting GeoJSON
});
Optionally, and depending on how you import the library, you may also need to pass a config
object as argument to the initGoCart
function, which can contain the locateFile
property: if set, it will be used to locate the WASM file (which is needed by the library).
For example with the Vite build tool:
import initGoCart from 'go-cart-wasm';
import goCartWasm from 'go-cart-wasm/dist/cart.wasm';
initGoCart({
locateFile: () => goCartWasm,
}).then((GoCart) => {
// Use GoCart as in the previous example
// ...
});
Or using unpkg and require:
const initGoCart = require("https://unpkg.com/go-cart-wasm@latest/dist/go-cart.cjs");
const GoCart = await initGoCart({
locateFile: (path) => 'https://unpkg.com/go-cart-wasm@latest/dist/cart.wasm',
});
// Use GoCart as in the previous example
// ...
Or in a HTML document:
<script src="https://cdn.jsdelivr.net/npm/go-cart-wasm@latest"></script>
<script>
let GoCart;
initGoCart({
locateFile: () => 'https://cdn.jsdelivr.net/npm/go-cart-wasm@latest/dist/cart.wasm',
}).then((GoCartModule) => {
GoCart = GoCartModule;
})
</script>
Note that the data that is passed to the makeCartogram
function must be a valid GeoJSON FeatureCollection, its features must be of type Polygon or MultiPolygon and the field name must be a valid property of its features.
Moreover, the data have to be in a projected reference coordinate system that maintains the areas of the polygons (e.g. Lambert-93 / EPSG:2154 for Metropolitan France, EPSG:3035 for the European Union, etc.). Performing the calculation in geographic coordinates (e.g. EPSG:4326) would give erroneous results.
Note also that by default the calculation is done in the main thread. The freedom is left to the user to import go-cart.js from a webworker and use it that way (nevertheless you will have to implement a basic dialogue between the main thread and the webworker).
See for example this Observable Notebook.
Requirements:
- The Just command runner (https://github.com/casey/just)
- Emscripten SDK (https://emscripten.org/docs/getting_started/downloads.html)
- Node.js (https://nodejs.org/en/download/)
- npm (https://www.npmjs.com/get-npm)
Install and compile dependencies:
- Install Just, install Emscripten SDK, install node.js / npm.
- Install node dependencies with
npm install
. - Activate the various environment variables of Emscripten SDK in the current terminal (
source ./emsdk_env.sh
in emsdk directory). - Build the C dependencies with
npm run build-deps
.
Build the WASM/JS code:
- Run
npm run build
to build the WASM module and the JS wrapper. If you change stuff in the JS wrapper (insrc
) or in the C code of go_cart (ingo_cart
), you can resume from here. If you want to see debug information about the progress of the cartogram creation in the console (grid size used, number of iterations, max area error, correction factor, etc.) you can compile with the DEBUG flag withnpm run build-debug
. - Get the built files from the
dist
directory.
Note that this has only been tested on GNU/Linux and that these instructions may need to be modified to work on Mac OS X and Windows.
This project is licensed under the MIT License - see the LICENSE file for details. Underlying code by Gastner, Seguy, and More (2018) is licensed under a modified MIT License - see their LICENSE file for details.