Day 67. Power Grid SLD ⚡

Client work for a utility software platform.
It handles 600+ nodes with voltage-based filtering, transitions between Tree hierarchy and geospatial layout, sticky HTML popups, and collision handling for overlapping assets.

Built with D3.js v7, React, TypeScript, and Mapbox GL JS, connected to a live authenticated REST API.

Confidential deployment, no public demo.

#100DayMapChallenge Day 67/100

#D3js #React #TypeScript #Geospatial #NetworkVisualization #Animation

Day 23. How does a virus move through a community? 🦠

Full #COVID19 network view. Every case, every connection, no geographic grouping.

Built March 2020 after seeing Kontinentalist's Singapore viz. https://geo-spatial.org collecting Romanian data daily. Force-directed graph positions nodes with minimal crossings.

Technical struggle: thousands of nodes overwhelm DOM. Tried Svelte, Canvas, web workers, backend SVG. Should've done WebGL.

#100DayMapChallenge #D3js #NetworkVisualization #FOSS

In the second event of our #sfbtrr161 lecture series, Jacob Miller from TU Munich will focus on the relationship between faithfulness metrics and how humans interpret data in #networkvisualization: "Evaluating Visualization Quality from Mathematical Soundness to Human Perception".
📆 Monday, October 27, 4 to 6 p.m.
📍 Visualization Research Center (VISUS), University of Stuttgart & online.

https://www.sfbtrr161.de/events_sfbtrr161/

Cosmograph can visualize networks that have millions of nodes and edges. Everything is handled client-side including rendering using your own GPU.
#NetworkVisualization #GraphAnalysis #Cosmos

https://cosmograph.app/

@academicchatter

#ToolsForResearchers #NetworkAnalysis

«Visualising Social Networks with Cytoscape» by @konrad (#CreativeCommons, 2020)

https://kmlawson.github.io/dh-tutorials/cytoscape.html

#SocialNetworks #Visualization #Histodons
#DataVisualization #NetworkVisualization