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Hands-On Graph Analytics with Neo4j

You're reading from   Hands-On Graph Analytics with Neo4j Perform graph processing and visualization techniques using connected data across your enterprise

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Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781839212611
Length 510 pages
Edition 1st Edition
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Author (1):
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 Scifo Scifo
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Scifo
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Table of Contents (18) Chapters Close

Preface 1. Section 1: Graph Modeling with Neo4j
2. Graph Databases FREE CHAPTER 3. The Cypher Query Language 4. Empowering Your Business with Pure Cypher 5. Section 2: Graph Algorithms
6. The Graph Data Science Library and Path Finding 7. Spatial Data 8. Node Importance 9. Community Detection and Similarity Measures 10. Section 3: Machine Learning on Graphs
11. Using Graph-based Features in Machine Learning 12. Predicting Relationships 13. Graph Embedding - from Graphs to Matrices 14. Section 4: Neo4j for Production
15. Using Neo4j in Your Web Application 16. Neo4j at Scale 17. Other Books You May Enjoy

Leaflet and GeoJSON

Leaflet is an open source JavaScript library used to visualize maps. Like many map visualization systems, it works with superimposed layers. Each layer can be a different type. In this section, we will only use two of them:

  • The Tile layer displays square PNG images. Depending on the layer, it can contain streets, toponymy, or even points of interest. In our case, we will only use the default Open Street Map tile layer.
  • The GeoJSON layer displays data with the GeoJSON format. So far, we have only seen geometries stored as WKT. GeoJSON is another human-readable representation of geometries. The following code shows the WKT and GeoJSON representations of the same shape:
WKT:
LINESTRING(-73.9879285 40.7597869,-73.9878847 40.759847)

GeoJSON:
{"type":"LineString","coordinates":[[-73.9879285,40.7597869],[-73.9878847,40.759847]]}

Let's get started and build our map. Creating a leaflet map is as simple as executing the following command...

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