In this stream we explore some techniques for working with geospatial data in Neo4j. We will cover some basic spatial Cypher functions, spatial search, routing algorithms, and different methods of importing geospatial data into Neo4j.
Cheat Sheet: https://lyonwj.com/blog/spatial-cypher-cheat-sheet
Blog: https://lyonwj.com/blog/making-sense-of-geospatial-data-with-knowledge-graphs-neo4j
Will Lyon: https://twitter.com/lyonwj
0:00 Intro
9:40 Cheat Sheet
18:50 Geospatial Data with Cypher Overview
24:15 Working with Geospatial Data in Cypher
44:00 Spatial Search & Algorithms
56:20 Using the Python Driver
1:03:30 Visualizing Data with Bloom
1:12:39 WrapUp
Will @ NODES / Making Sense of Geospatial Data With Knowledge Graphs: https://youtu.be/-fs8ozxKklQ
Neo4j Live: Normalized Categorization of Multisource Geolocated Data by Veronique Gendner: https://youtube.com/live/jiWW6TjPVLw
Indexes in Neo4j: https://neo4j.com/docs/cypher-manual/current/indexes-for-search-performance/
APOC https://neo4j.com/labs/apoc/
Python Driver https://neo4j.com/docs/python-manual/current/
Training Series - Build A Routing Web Application https://youtube.com/live/Z4XZgsbaD9c
#neo4j #graphdatabase #geospatial #geography #visualisation #visualization #map