Geospatial data science quick start guide : effective techniques for performing smarter geospatial analysis using location intelligence / Abdishakur Hassan, Jayakrishnan Vijayaraghavan.

Print version record.

Includes index.

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.

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 -- Other Books You May Enjoy -- Index.

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