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Geospatial Analysis with SQL

You're reading from Geospatial Analysis with SQL A hands-on guide to performing geospatial analysis by unlocking the syntax of spatial SQL

Product type Paperback

Published in Oct 2023

Publisher Packt

ISBN-13 9781835083147

Length 234 pages

Edition 1st Edition

Languages

SQL

Tools

QGIS

Concepts

Geospatial Analysis

Author (1):

Bonny P McClain

View More author details

Table of Contents (13) Chapters

Preface

1. Section 1: Getting Started with Geospatial Analytics

2. Chapter 1: Introducing the Fundamentals of Geospatial Analytics FREE CHAPTER

3. Chapter 2: Conceptual Framework for SQL Spatial Data Science – Geometry Versus Geography

4. Chapter 3: Analyzing and Understanding Spatial Algorithms

5. Chapter 4: An Overview of Spatial Statistics

6. Section 2: SQL for Spatial Analytics

7. Chapter 5: Using SQL Functions – Spatial and Non-Spatial

8. Chapter 6: Building SQL Queries Visually in a Graphical Query Builder

9. Chapter 7: Exploring PostGIS for Geographic Analysis

10. Chapter 8: Integrating SQL with QGIS

11. Index

Why subscribe?

12. Other Books You May Enjoy

Technical requirements

I invite you to find your own data if you are comfortable or access the data recommended in this book’s GitHub repository at: https://github.com/PacktPublishing/Geospatial-Analysis-with-SQL.

The following datasets are being used in the examples in this chapter:

NYC Open Data: https://opendata.cityofnewyork.us
DOHMH Indoor Environmental Complaints: DOHMH Indoor Environmental Complaints
Census Reporter: https://censusreporter.org/2020/
Neighborhood Tabulation Areas: 2020 Neighborhood Tabulation Areas (NTAs)—tabular (https://opendata.cityofnewyork.us/)

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Authors (1)

Bonny P McClain

Bonny P McClain

Bonny P McClain applies advanced data analytics, including data engineering and geo-enrichment, to discussions of poverty, race, and gender. Racism, class exploitation, sexism, nationalism, and heterosexism all contribute to social inequality. Bonny redefines how we measure these attributes and how we can more accurately identify amenable interventions. Spatial data hosts a variety of physical and cultural features that reveal distribution patterns and help analysts and data professionals understand the underlying drivers of these patterns. Bonny is a popular conference keynote and workshop leader. Her professional goals include exploring large datasets and curating empathetic answers to larger questions, making a big world seem smaller.

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