Python for Geospatial Data Analysis: Theory, Tools, and Practice for Location Intelligence, 1st Edition eBook

$30.00

. In spatial data science, things in closer proximity to one another likely have more in common than things that are farther apart.

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About this eTextbook

. In spatial data science, things in closer proximity to one another likely have more in common than things that are farther apart. With this practical book, geospatial professionals, data scientists, business analysts, geographers, geologists, and others familiar with data analysis and visualization will learn the fundamentals of spatial data analysis to gain a deeper understanding of their data questions.

Author Bonny P. McClain demonstrates why detecting and quantifying patterns in geospatial data is vital. Both proprietary and open source platforms allow you to process and visualize spatial information.

This book is for people familiar with data analysis or visualization who are eager to explore geospatial integration with Python. ISBNs for Python for Geospatial Data Analysis are 9781098104740, 1098104749 and the print ISBNs are 9781098104795, 109810479X. Additional ISBNs include 9781098104764.

Publication details

Author: Bonny P. McClain
Publisher: O'Reilly Media

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About this eTextbook

Publication details

Author: Bonny P. McClain
Publisher: O’Reilly Media

What you receive

A licensed digital edition of this title, supplied as PDF or EPUB. The format is set by the publisher, so email us the ISBN before ordering and we will confirm which one it is.
Delivered to the email address on your order as a secure download link, usually within minutes and always within 24 hours of payment.
Download links do not expire and there is no cap on re-downloads. Readable on any computer, tablet or phone, online or offline.
This is a digital edition. Nothing is printed, packed or posted, and there is no delivery charge.