Data
Reader small image

You're reading from  Hands-On Graph Analytics with Neo4j

Product typeBook
Published inAug 2020
PublisherPackt
ISBN-139781839212611
Edition1st Edition
Tools
Neo4j
Concepts
Database Programming
Right arrow
Author (1)
Estelle Scifo
Estelle Scifo
author image
Estelle Scifo

Estelle Scifo possesses over 7 years experience as a data scientist, after receiving her PhD from the Laboratoire de lAcclrateur Linaire, Orsay (affiliated to CERN in Geneva). As a Neo4j certified professional, she uses graph databases on a daily basis and takes full advantage of its features to build efficient machine learning models out of this data. In addition, she is also a data science mentor to guide newcomers into the field. Her domain expertise and deep insight into the perspective of the beginners needs make her an excellent teacher.
Read more about Estelle Scifo

Right arrow

Creating a geometry layer in Neo4j with neo4j-spatial

neo4j-spatial is an extension of Neo4j containing tools to represent and manipulate complex spatial data types. In this section, we are going to learn about this plugin by importing data on districts in Manhattan and finding points of interest located within each district.

Introducing the neo4j-spatial library

The neo4j-spatial plugin can be installed by downloading the latest release jar from https://github.com/neo4j-contrib/spatial/releases and copying this jar to the plugins directory of your active graph. You then need to restart the graph for the changes to be taken into account. Once this is done, you can check that the spatial plugin is enabled by calling the spatial.procedures() procedure, listing all available procedures within the plugin:

CALL spatial.procedures()

With this plugin, we will be able to do the following:

  • Import from well-known geographic data formats such as shapefile
  • Use topology operations such as contains...
lock icon
The rest of the page is locked
Previous Page
Chapter 8 of 18, Page 4
Next Page
You have been reading a chapter from
Hands-On Graph Analytics with Neo4j
Published in: Aug 2020Publisher: PacktISBN-13: 9781839212611
© 2020 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Estelle Scifo

Estelle Scifo possesses over 7 years experience as a data scientist, after receiving her PhD from the Laboratoire de lAcclrateur Linaire, Orsay (affiliated to CERN in Geneva). As a Neo4j certified professional, she uses graph databases on a daily basis and takes full advantage of its features to build efficient machine learning models out of this data. In addition, she is also a data science mentor to guide newcomers into the field. Her domain expertise and deep insight into the perspective of the beginners needs make her an excellent teacher.
Read more about Estelle Scifo

Other recommended products

Related to this chapter

Graph Machine Learning

Graph Machine Learning

Data scientists working with network data will be able to put their knowledge to work with this practical guide to building machine learning algorithms using graph data. The book provides a hands-on approach to implementation and associated methodologies that will have you up and running and productive in no time.

BookJun 2021338 pages
Network Science with Python and NetworkX Quick Start Guide

Network Science with Python and NetworkX Quick Start Guide

The emerging field of Network Science is about understanding different kind of relationships. This book covers the latest version 2.x of NetworkX for performing Network Science with Python.You will also learn the fundamentals of network theory and see practical examples of how they are applied to real-world problems using Python and NetworkX.

BookApr 2019190 pages
Learning Neo4j 3.x

Learning Neo4j 3.x

With increase in complexity of data relationships, graph databases are quickly becoming the de-facto standard for organizations who manage large volumes of connected data. This book aims at getting you started with the popular graph database Neo4j along with covering key concepts like modelling transitions, searches, traversals, relationships and protocols to navigate through complex networks of information. Also take a trip down the new and improved feature additions to version 3.x such as the APOC library, security, various plugins and extensions for spatial operations on data.

BookOct 2017316 pages
Geospatial Data Science Quick Start Guide

Geospatial Data Science Quick Start Guide

This book will help you leverage the power of data analysis and apply it to location and geospatial data to gain interesting insights. It presents useful tools and location intelligence techniques in Python to implement geospatial analytics from scratch.

BookMay 2019170 pages
Practical Discrete Mathematics

Practical Discrete Mathematics

Discrete math deals with studying finite and distinct elements. With this book, you’ll learn the discrete math language and methods crucial to studying and describing objects and functions in computer science. You'll also focus on the mathematics of machine learning and computer science and prepare to understand real-world algorithm development.

BookFeb 2021330 pages

Personalised recommendations for you

Based on your interests and search pattern

Et al.

Et al.

Ever wonder why speech recognition systems don't understand the Scottish accent, or what would happen if an astronaut only ate mac 'n' cheese, or other spurious reflections you'd have at a bar? We did, then collated those deliberations into absurd research articles with fake figures and methodologies inspired by even more fictionally absurd studies.

BookAug 2023230 pages5
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages4
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages5
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages1
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages5
Mastering Tableau 2023

Mastering Tableau 2023

This book is a comprehensive resource to mastering your Tableau skills and becoming a BI expert. As you progress, you will learn how to build advanced dashboards and improve your storytelling to derive key business insight, as well as make you well-versed with advanced functionalities of Tableau in the business intelligence domain.

BookAug 2023684 pages
Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

BookSep 2023258 pages5
Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

BookSep 2023258 pages2
Data Engineering with AWS

Data Engineering with AWS

Embark on a journey to master data engineering pipelines on AWS! Our book offers a hands-on experience of AWS services for ingesting, transforming, and consuming data. Whether you're an absolute beginner or someone with basic data engineering experience, this guide is an indispensable resource.

BookOct 2023636 pages5
Modern Data Architecture on AWS

Modern Data Architecture on AWS

Every organization wants an agile, performant, and cost-effective data platform that meets all their current and future business needs. Purpose-built AWS analytics services and their features play a big part in building such a modern data platform. This book brings to you all the design and architectural patterns that’ll help you achieve this goal.

BookAug 2023420 pages5
Practical Guide to Applied Conformal Prediction in Python

Practical Guide to Applied Conformal Prediction in Python

Discover the power of Conformal Prediction with the "Practical Guide to Applied Conformal Prediction in Python." Master the latest techniques to quantify uncertainty in machine learning and computer vision models, and seamlessly apply them to your industry applications.

BookDec 2023240 pages
TinyML Cookbook

TinyML Cookbook

With over 70 project-based recipes, the TinyML Cookbook is a practical guide that will help you to get the most out of your microcontrollers. It provides a comprehensive understanding of the theoretical foundations while giving you hands-on experience training ML models for deployment on Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano microcontrollers.

BookNov 2023664 pages