Leaflet jQuery Controls Group 1 Town Boundary Bike Racks Group 2 Sed non urna. Donec et ante. Folium: Python Data. Leaflet.js Maps. — Folium 0.1.2 documentation Folium builds on the data wrangling strengths of the Python ecosystem and the mapping strengths of the Leaflet.js library. Manipulate your data in Python, then visualize it in on a Leaflet map via Folium. Concept Folium makes it easy to visualize data that’s been manipulated in Python on an interactive Leaflet map. It enables both the binding of data to a map for choropleth visualizations as well as passing Vincent/Vega visualizations as markers on the map. The library has a number of built-in tilesets from OpenStreetMap, Mapbox, and Stamen, and supports custom tilesets with Mapbox or Cloudmade API keys.
Build stylish, scalable maps using Leaflet.js Maps and geographic location data are a big part of our online presence and applications. More often than not, maps tend to look similar, as a single provider generates them. This means your map looks just like everyone else’s. Let’s take a step back from the existing mapping libraries available and investigate the small but powerful Leaflet.js library. Used by a number of recognisable organisations including Flickr, Meetup and foursquare, Leaflet.js works wonderfully on desktop and mobile devices, and makes use of modern HTML5 and CSS3 techniques, yet it’s still accessible on older browsers. In this tutorial we will create a data-driven mapping application to plot the location of London train stations.
Examples: Realtime Click Heatmap This example shows a realtime heatmap with click data, if you click on the surface to the right it will add the datapoint right after the click. Click on the heatmap in order to create datapoints! Using Leaflet.js with non-geographic imagery - Oliver Marriott Hey! This was written for Leaflet.js 0.5.1, sorry, it might not work anymore but hopefully it's still helpful. The tileup gem should still be useful. I plan to update the guide when I have time.
Web Safe Colours Diagram with rgb and hex values What are web-safe colours? The diagram below illustrates the 216 web-safe, or browser-safe, colours. These are the only colours that can be displayed reliably across all browsers and operating systems running at 8-bit colour depth (i.e. the colours will not dither or band when used to display areas of flat colour). Local projections in a world of spherical mercator Update 2014-02-24: A more thorough and updated version on the topic is The Hitchhiker’s Guide to Tiled Maps. The premise: you want to use the new and cool open source mapping solutions like Leaflet, TileStache and TileMill. While you love projects like OpenStreetMap, you are in a position where you cannot throw out your old map tiles, that are rendered in some local projection, instead of the the one projection to rule them all, spherical mercator. You need to coerce these tools to use your projection and your tiles. Fortunately, these tools do support local projections, or at least were designed with this support in mind.