If you're new to maps, or simply want to take advantage of the built in mapping capabilities that Tableau provides, you can create a simple point or filled (polygon) map similar to the examples below. We can be reached on Twitter you enjoyed this blog, I’d love for you to hit the share button so others might stumble upon it.You can build several different types of maps for your geographic analysis in Tableau. As always, We welcome feedback and constructive criticism. I hope you would enjoy Mapbox and Tableau in your next viz!įor further questions please find me on twitter: tried to cover as much as we could for a newbie to get started with dashboard design in tableau. Thanks for reading! Each unique map requires patience and love. Last but not least, upload and share my visualization Tooltip-Path Time Tooltip-station, Tooltip-railway Tooltips are very simple to make but could add many details to the map. When Hovering over a section of the route, it shows the duration of that section (below right). In this map, when hovering over a stop, the tooltip shows the day number and day of the week (below left). I usually use tooltips for additional information. Refinement: add heading, description, labels, legend, tooltips, etc.

Draw route: use dual axis, change one chart type to Map, replace Location with Geometry, and id in the route dataset.įind Share in Mapbox, copy the integration URL, and paste it into Tableau.ĭetailed instructions on using custom Mapbox styles in Tableau is available here Step 3-4 Copy Mapbox URL Step 3-5 Tableau Map backgroundĥ.

Draw stops: drag Longitude to Columns, Latitude to Rows, Location to Detail.Connect to both datasets, then edit Relationship.Step 2-3 Underground Step 3: Put it together in Tableau Since it is not related to any terrain or infrastructures above the ground, I chose a minimal single-color silhouette as background to minimize visual noise and allow the key content to stand out.

In another example, I need to visualize the underground railway network. A satellite image serves the purpose best because the differences between climate zones are very obvious in a satellite image. For example, in the map of climate zones in Mount Kilimanjaro, the aim is to show the five different climate zones at different elevations. The choice of map style not only is a personal preference but also depends on the story and purpose of the map. Please follow these amazing Mapbox techniques in this video by Jonni Walker: Step 2-1 Mapbox The final map background has only four layers but the visual effect is stunning. With Mapbox, the sky’s the limit! You may either choose a template and customize it or create one from scratch in Mapbox Studio.įor this journey map, I created from scratch using a mapbox-terrian-rgb layer to visualize the terrain along the journey, also chose an icy blue color scheme to enhance the sense of Siberia. shp file.įor basic QGIS, please check this tutorial for absolute beginners by Klas Karlsson: Step 1-3 QGIS: tracing the routes and assign an ID to each section Step 2: Customize map styles in Mapbox However this time I didn’t find exactly what I need, so I decided to manually trace the route in QGIS, then assign an ID to each section between the stops. Usually, I google ‘keyword+ shapefile’ or extract data from OpenStreetMap. I started by searching for a downloadable. The route is a spatial file that contains latitude and longitude of all the points on the route. However, with a more detailed dataset, the map looks more realistic! (below right) Step1-2 basic and advanced routes Without detailed routes, you may create a basic map by simply connecting the stops (below left). It is essential to define Relationship of these two datasets in Tableau.ĭata about the route are optional. They match the IDs in the other dataset for the route.

*The numbers in the railway column are IDs of each route section. Step 1: Collect dataįor this map, I used two datasets: the stops and the route.ĭata about the stops are collected from various sources, such as the official train service webpage for timetable, Google Maps for latitude and longitude, and Wikipedia for other details. To visualize this journey, firstly I collected data, then styled a map background in Mapbox, and finally, combine them in Tableau.

Tabulo map