We are thrilled to announce the publication of our latest research paper, "Dash Sylvereye: A Python Library for Dashboard-Driven Visualization of Large Street Networks," in the open-access journal IEEE Access (2022 IF 3.9). Bridging the Visualization Gap In the realm of urban planning and traffic management, visualizing street networks is crucial for analysis and decision-making. … Continue reading Publication of Article on Dash Sylvereye in the IEEE Access Journal
Data Science
Announcing the Release of Dash Sylvereye: Visualization of Large Road Networks with the Dash Framework
I am thrilled to announce that the source code for our visualization library, Dash Sylvereye, is now publicly available on GitHub and PyPi! Dash Sylvereye is a new Python library that facilitates the creation of interactive visualizations, specifically focusing on large primal street networks. The library offers a Dash component that supports interactive visualizations on … Continue reading Announcing the Release of Dash Sylvereye: Visualization of Large Road Networks with the Dash Framework
Alberto García Robledo, Ph.D. 