Geospatial Data Science Quick Start Guide (ebook)

Geospatial Data Science Quick Start Guide (ebook) - Opis

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. Spis treści: 1. Introducing Location Intelligence2. Consuming Location Data Like a Data Scientist3. Performing Spatial Operations Like a Pro4. Making Sense of Humongous Location Datasets5. Nudging Check-Ins with Geofences6. Let's Build a Routing Engine7. Getting Location Recommender Systems