Geospatial data science quick start guide : effective techniques for performing smarter geospatial analysis using location intelligence /

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Bibliographic Details
Author / Creator:	Hassan, Abdishakur, author.
Imprint:	Birmingham : Packt Publishing, Limited, 2019. ©2019
Description:	1 online resource (iii, 155 pages) : illustrations.
Language:	English
Subject:	Geospatial data. Geospatial data.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12649419

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Other authors / contributors:	Vijayaraghavan, Jayakrishnan, author.
ISBN:	9781789809336 1789809339 9781789809411
Notes:	Includes index. Print version record.
Summary:	This book demonstrates effective techniques for using the power of data science and geospatial intelligence to build effective, intelligent data models that make use of location-based data to give useful predictions and analyses.This book begins with a quick overview of the fundamentals of location-based data and how techniques such as Exploratory Data Analysis can be applied to it. We then delve into spatial operations such as computing distances, areas, extents, centroids, buffer polygons, intersecting geometries, geocoding, and more, which adds additional context to location data. Moving ahead, you will learn how to quickly build and deploy a geo-fencing system using Python. Lastly, you will learn how to leverage geospatial analysis techniques in popular recommendation systems such as collaborative filtering and location-based recommendations, and more.By the end of the book, you will be a rockstar when it comes to performing geospatial analysis with ease.
Other form:	Print version: Hassan, Abdishakur. Geospatial Data Science Quick Start Guide : Effective Techniques for Performing Smarter Geospatial Analysis Using Location Intelligence. Birmingham : Packt Publishing, Limited, ©2019 9781789809411

Table of Contents:

Geospatial data science quick start guide: effective techniques for performing smarter geospatial analysis using location intelligence
Dedication
Contributors
Table of Contents
Preface
Chapter 1: Introducing Location Intelligence
Chapter 2: Consuming Location Data Like a Data Scientist
Chapter 3: Performing Spatial Operations Like a Pro
Chapter 4: Making Sense of Humongous Location Datasets
Chapter 5: Nudging Check-Ins with Geofences
Chapter 6: Let's Build a Routing Engine
Chapter 7: Getting Location Recommender Systems
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Index.

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