Tag Archives: carto

Map Club — WORKSHOP — Interactive Maps with CARTO


Map Club’s most recent meeting was a change of pace from the usual self-paced rhythm of weekly sessions. In the first of three workshops occurring throughout this semester, we walked through a guided introduction to CARTO. CARTO (formerly CartoDB) is a unified web mapping and visualization engine that facilitates the creation of interactive maps. This workshop covered the process of downloading data, importing data into CARTO, filtering and visualizing attributes, and publishing a finalized custom webmap.

The datasets for this workshop were downloaded from the Global Forest Watch Open Data Portal, and specifically focused on Indonesia wood fiber concessions.






From top: Map view after import, data view, categorical color scale, map of Indonesia wood fiber concessions by Emily Fuhrman, map of earthquakes between 1960 and 2016 of magnitude > 6.0 by Neville Shane

The final map from the guided tutorial visualizes the different groups in the downloaded dataset to whom Indonesian forest areas are allocated. More details on the data may be found here. As always, thank you to everybody who attended, and hope to see you next session!

Sign up here if you would like to receive updates on future Map Club sessions. For this session’s resources and materials, visit the Map Club Github repository.

Map Club, Session 01 — Exploring CARTO & CARTO.js


Map Club kicked off its first summer session with a dive into CARTO.js, a unified JavaScript library that interacts with the CARTO (formerly CartoDB) web mapping and visualization engine.

After setting up CARTO accounts and local testing servers, attendees prepared datasets for upload to the CARTO interface, explored different geovisualization methods provided by the platform, and experimented with interactive capabilities offered by the CARTO.js library.


Next week we’ll explore Kartograph, a framework for building interactive map applications. See you then!

For this session’s resources and materials, visit the Map Club Github repository.