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

Birmingham : Packt Publishing, Limited, 2019.

©2019

1 online resource (iii, 155 pages) : illustrations.

Access is available to the Yale community.

Includes index.

Access restricted by licensing agreement.

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.

Knovel. OCLC KB.

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

Books / Online

English

August 02, 2021