Geospatial Data Science Quick Start Guide

Geospatial Data Science Quick Start Guide

Effective techniques for performing smarter geospatial analysis using location intelligence


This eBook includes

Formats : PDF, EPUB, MOBI (Downlodable)

Pages : 170

ISBN : 9781789809336

Language : English

About the Book

Book description

Discover the power of location data to build effective, intelligent data models with Geospatial ecosystems

Key Features

  • Manipulate location-based data and create intelligent geospatial data models
  • Build effective location recommendation systems used by popular companies such as Uber
  • A hands-on guide to help you consume spatial data and parallelize GIS operations effectively

Book Description

Data scientists, who have access to vast data streams, are a bit myopic when it comes to intrinsic and extrinsic location-based data and are missing out on the intelligence it can provide to their models. 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.

What you will learn

  • Learn how companies now use location data
  • Set up your Python environment and install Python geospatial packages
  • Visualize spatial data as graphs
  • Extract geometry from spatial data
  • Perform spatial regression from scratch
  • Build web applications which dynamically references geospatial data

Who this book is for

Data Scientists who would like to leverage location-based data and want to use location-based intelligence in their data models will find this book useful. This book is also for GIS developers who wish to incorporate data analysis in their projects. Knowledge of Python programming and some basic understanding of data analysis are all you need to get the most out of this book.

Geospatial Data Science Quick Start Guide

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Author Details

Packt Publishing

Packt Publishing

Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.

Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.

As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.

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