As some of you may already know, Newsweek / The Daily Beast has been using CartoDB for some time now, and as such today’s blog post comes from Michael Keller of Newsbeast labs. We’d also like to take the opportunity thank Michael for his amazing contributions to the CartoDB community. Thanks!
I have been reusing code from former projects and so it was about time I standardized them into reusable templates with Leaflet.js. I released them on Github this week.
I made three categories: basic map with hover states, hover states + hover infowindow, and all of that with templated infowindows using Underscore.js.
In each of these categories you’ll see a template for a point map, a polygon map, and a map with both points and polygons.
On point + polygon templates, the polygon hover state turns off when you hover over a point.
Hover windows follow the mouse and respect the boundaries of the map-canvas. I find it most useful to have hover windows close to the mouse so your eye doesn’t have to leave that map region to see that region’s details
Templates with Underscore.js hover windows include sample formatHelper functions to act as a formatting layer between your data values and how you want them to display. For instance, you could store all your feature attributes as boolean variables and run them through various formatHelpers functions to return nice display strings.
The hover states work by storing a simplified GeoJSON representation of that feature as a feature attribute. On featureOver, that GeoJSON is plotted as a vector using Leaflet.js.
Point + polygon templates add a secondary style class to hover windows when hovering over points to differentiate from polygons.
If you have any questions, I’m at @mhkeller. If you have improvements, pull requests at http://github.com/mhkeller/cartodb-templates
Many things have changed in our day to day lives since the start of the pandemic, and industries such as retail, tourism, and real estate are forced to navigate through a c...Use Cases
In Portland, Oregan, the city picked up more waste in 2020 than any other year on record: 3,000 tons, 50% more than the previous year. As a result of the pandemic, more peo...Use Cases
At CARTO, we firmly believe that the future of geospatial analysis lies in the realm of next generation cloud data warehouses. Traditional data sources (such as census data...Use Cases
Please fill out the below form and we'll be in touch real soon.