Road to NODES: Analyzing The Physical World With Graphs & Neo4j
82 attendees from 16 groups hosting
Hosted by Graph Database Middle East
Details
In this hands-on workshop we will explore how graphs and Neo4j can add value when working with geospatial data and specifcally how Neo4j fits into geospatial data science workflows.
We will cover how to import and model geospatial data in Neo4j, the spatial functionality available in the Cypher query language, how to leverage Neo4j's Graph Data Science functionality when working with geospatial data, how to visualize the results of our analysis, and how to use Neo4j with common geospatial tooling in the Python ecosystem such as GeoPandas, Matplotlib, Shapely, and Fiona.
No initial setup is required. We will use the free Neo4j Sandbox cloud hosted Neo4j instances combined with Python notebooks that can be run either in GitHub's free Codespaces environment or Google's Colab cloud environment (or run locally in a local Jupyter environment).
