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Geospatial Data Science Quick Start Guide

Geospatial Data Science Quick Start Guide

By : Abdishakur Hassan, Jayakrishnan Vijayaraghavan
4 (6)
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Geospatial Data Science Quick Start Guide

Geospatial Data Science Quick Start Guide

4 (6)
By: Abdishakur Hassan, Jayakrishnan Vijayaraghavan

Overview of this book

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.
Table of Contents (9 chapters)
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Nudging Check-Ins with Geofences

Geofencing is a useful tool and concept in geographic data science and is used in many domain applications, including business, conservation, and security, as well as home automation. The concept of geofencing is very simple, yet it is a powerful technique that enriches location applications. Simply put, a geofence is a defining virtual boundary around geographic objects or an area, so that every time a user enters or leaves the boundary perimeters, actions or notifications can be triggered. With the increased use of smartphone, GPS, and location services, geofencing becomes an indispensable tool in location data analytics and intelligence. In this chapter, we will cover the following topics:

  • Geofencing concept and components
  • Revisiting geometry and topology (lines and polygons)
  • Geofencing application example
  • Geofencing and interactive web mapping...
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Geospatial Data Science Quick Start Guide
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