![]() ![]() Select and drag cb_2015_us_state_20m.shp and cb_2015_us_state_20m.dbf from your computer and drop them within the browser window.Open the states folder on your computer.This will allow us to visually inspect the map data before making any changes. Now that we have our data, we need to import it into MapShaper. You'll need to unzip both folders of data before moving forward. Read more about the parks data and then download it. It's a great source for well-formatted data optimized for small-scale maps. Natural Earth provides public domain map data that is created by volunteers. The National Park data we'll use comes from Natural Earth. Download the map at a 20 million to 1 resolution. For, this tutorial we'll be getting our U.S. Therefore, we need to tell our software which projection we'd like to use.įree geographic data can be found from many sources online, here is a fun list to get you started. There are many ways to project our 3-dimensional world onto a 2-dimensional map.A shapefile is actually a collection of 4 files with the following extensions.There are, however, a couple things you should understand about Shapefiles and geographic data. GIS software can be quite intimidating, but it doesn't need to be. Working with this type of data is often referred to as GIS (Geographical Information System) work. Shapefile is an open standard geospatial vector data format created by Esri. Geographical data is often stored in the Shapefile format. Customize and optimize the map using MapShaper.Download the geographic data as a shapefile (.shp).Last month was, after all, the 100th anniversary of the National Park Service! When we are finished our map will look like this: So, for additional practice, we'll overlay all the US National Parks over the map. In this tutorial, I'll teach you how to create an SVG map of the United States using public census data. This means you can easily create custom SVG maps without needing to install anything on your computer. Unlike, Kartograph.py, MapShaper can be used via a modern web browser at. MapShaper is a Shapefile editing tool created by Matthew Bloch. Over the past year, Kartograph.py has been abandoned and a new tool, MapShaper, has added support for exporting SVG maps. However, that process required installing a python library, Kartograph.py, that required a lot of dependencies and was, frankly, difficult for even technical users to follow. Good luck! Sometimes, you won't have any option but to create your own SVG map from scratch.Ībout a year ago, I wrote a tutorial for Smashing Magazine on how to create SVG maps using open source data and tools. For example, maybe you need an up-to-date state legislative map for Wyoming in SVG format. However, existing maps may be out of date, have errors, or simply not exist for your area of interest. For example, the Wikimedia Commons and our own SVG map library are great resources. ![]() And, browser support for SVG images is nearly ubiquitous. Because SVG maps are vector images, they can be resized for zooming and web responsiveness without any loss of fidelity. A simpler and cleaner alternative is to use an SVG (Scalable Vector Graphic) map. But, they are overkill if you just want a small-scale map that cleanly integrates with your site's design. Google Maps or Open Street Maps are popular options for street-level mapping. Interactive maps are a great way to visualize data and enhance the beauty and functionality of your website. ![]() A Guide to Making SVG maps with MapShaper | Articles
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