Geospatial Data Science Quick Start Guide: Effective techniques for performing smarter geospatial analysis using location intelligence
Authors: Abdishakur Hassan – Jayakrishnan Vijayaraghavan
ISBN-10: 178980941X
ISBN-13: 9781789809411
Released: 2019-05-31
Print Length 页数: 170 pages
Book Description
By finelybook
Discover the power of location data to build effective,intelligent data models with Geospatial ecosystems
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
Contributors
Contents
Preface
Chapter 1: Introducing Location Intelligence
Chapter 2: Consuming Location Data Like a Data Scientist
Chapter 3: Performing Spatial Operations Like a Pro
Chapter 4: Making Sense of Humongous Location Datasets
Chapter 5: Nudging Check-Ins with Geofences
Chapter 6: Let’s Build a Routing Engine
Chapter 7: Getting Location Recommender Systems
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