npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

barcelona-atlas

v1.0.0

Published

Pre-built TopoJSON from CartoBCN

Downloads

16

Readme

Barcelona Atlas TopoJSON

This repository provides a simple script to generate TopoJSON files from a mirror of the Barcelona City Council's vector data.

Usage

In a browser (using d3-geo and SVG):

<!DOCTYPE html>
<svg width="960" height="500"></svg>
<script src="https://d3js.org/d3.v5.min.js"></script>
<script src="https://d3js.org/topojson.v3.min.js"></script>
<script>

const svg = d3.select("svg");
const path = d3.geoPath();

d3.json("https://unpkg.com/[email protected]/barcelona/census_tracts.json")
  .then(barcelona => {
    svg
      .append('path')
      .attr('d', path(topojson.mesh(barcelona)))
      .attr('fill', 'none')
      .attr('stroke', 'black');
  })
  .catch(err => console.warn(err));

</script>

In Node (using d3-geo and node-canvas):

var fs = require("fs"),
  d3 = require("d3-geo"),
  topojson = require("topojson-client"),
  Canvas = require("canvas"),
  barcelona = require("./node_modules/barcelona-atlas/barcelona/census_tracts.json");

var canvas = new Canvas(960, 500),
    context = canvas.getContext("2d"),
    path = d3.geoPath().context(context);

context.beginPath();
path(topojson.mesh(barcelona));
context.stroke();

canvas.pngStream().pipe(fs.createWriteStream("preview.png"));

Generating the files

Clone or download the repo, start a terminal and run npm install in the folder. This command will run the script and move the generated files to the barcelona folder.

If you need to make further adjustments (simplification, quantization) you can change the prepublish script and run npm install again.

File Reference

# barcelona/census_tracts.json

A preprojected TopoJSON (EPSG:3043) which contains six objects: census tracts, basic statistic areas, neighborhoods, big neighborhoods, districts and city. Every tract, neighborhood and district has its corresponding identifier, so it's easy to get started. See reference metadata.

# barcelona.objects.census_tracts

# barcelona.objects.aeb

# barcelona.objects.neighborhoods

# barcelona.objects.big_neighborhoods

# barcelona.objects.districts

# barcelona.objects.city

Source

Ajuntament de Barcelona / CartoBCN (CC-BY).

Last data update: 11/03/2020.

Inspiration

The original idea and implementation comes from Mike Bostock’s us-atlas and world-atlas.

Check out es-atlas and madrid-atlas, which provide other Spanish administrative divisions with the same format.