Geospatial Data Science Quick Start Guide

coverpage

Title Page

Copyright and Credits

Geospatial Data Science Quick Start Guide

Dedication

About Packt

Why subscribe?

Packt.com

Contributors

About the authors

About the reviewers

Packt is searching for authors like you

Preface

Who this book is for

What this book covers

To get the most out of this book

Download the example code files

Download the color images

Conventions used

Get in touch

Reviews

Introducing Location Intelligence

Location data

Understanding location data from various perspectives

From a business perspective

From a technical perspective

From a data perspective

Types of location data

Location data intelligence

Application of location data intelligence

User or customer perspective

Venue or business perspective

Location data science versus data science

Data science

Location (spatial) data science

A primer on Google Colaboratory and Jupyter Notebooks

Summary

Consuming Location Data Like a Data Scientist

Exploratory data analysis

Handling missing values

Handling time values

Time values as a feature

Handling unrelated data

Spatial data processing

Taxi zones in New York

Visualization of taxi zones

Spatial joins

Calculating distances

Haversine distance

Manhattan distance

Error metric

Interpreting errors

Building the model

Validation data and error metrics

Summary

Performing Spatial Operations Like a Pro

GeoDataFrames and geometries

Geographic coordinates and geometries

Accessing the data

Geometry

Coordinate reference systems

GeoDataFrames

Spatial operations

Projections

Buffer analysis

Spatial joins

Location data visualization

Summary

Making Sense of Humongous Location Datasets

K-means clustering

The crime dataset

Cleaning data

Converting into a GeoDataFrame

K-means clustering with scikit-learn

Density-Based Spatial Clustering Applications with Noise

Detecting outliers

Detecting clusters

Spatial autocorrelation

Points in a polygon

Global spatial autocorrelation

The choropleth map

Spatial similarity and spatial weights

Global spatial autocorrelation

Local spatial autocorrelation

Summary

Nudging Check-Ins with Geofences

Geofencing

Geofencing applications

Marketing and geofencing

Geometry and topology (lines and polygons)

Line geometries

Polygon geometries

Topology – points in a polygon

Geofencing with Plotly

Masking

Plotly interactive maps

Summary

Let's Build a Routing Engine

Fundamentals of graph data structure

Directional graphs