更新时间：2021-06-24 13:48:39
coverpage
Title Page
Copyright and Credits
Geospatial Data Science Quick Start Guide
Dedication
About Packt
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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
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Conventions used
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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
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
Location data visualization
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
Local spatial autocorrelation
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
Let's Build a Routing Engine
Fundamentals of graph data structure
Directional graphs
