Geospatial Data Science Quick Start Guide

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.