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Geospatial Data Science Quick Start Guide

You're reading from Geospatial Data Science Quick Start Guide Effective techniques for performing smarter geospatial analysis using location intelligence

Product type Paperback

Published in May 2019

Publisher Packt

ISBN-13 9781789809411

Length 170 pages

Edition 1st Edition

Languages

Python

Tools

SciPy

Concepts

Data Science

Authors (2):

Abdishakur Hassan

Jayakrishnan Vijayaraghavan

View More author details

Table of Contents (9) Chapters

Preface

1. Introducing Location Intelligence FREE CHAPTER

2. Consuming Location Data Like a Data Scientist

3. Performing Spatial Operations Like a Pro

4. Making Sense of Humongous Location Datasets

5. Nudging Check-Ins with Geofences

6. Let's Build a Routing Engine

7. Getting Location Recommender Systems

8. Other Books You May Enjoy

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Spatial data processing

We will be discussing three things in this section: taxi zones, spatial joins, and the calculation of distances.

Taxi zones in New York

Analyzing and processing a taxi zone spatial data helps us achieve two objectives:

Substitute the missing coordinates for pickup and dropoff locations with the taxi zone's centroid
Use the taxi zone as a feature in the model

Visualization of taxi zones

We have provided the shapefile for the taxi zones in the data repository. Shapefiles can be read as (Geo)DataFrames with the Python library known as GeoPandas...

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Authors (2)

Abdishakur Hassan

Abdishakur Hassan

Abdishakur Hassan is a geographic information systems (GIS) expert and consultant with over 5 years of experience working with UN Habitat. He holds an MSc in geoinformation science and earth observations. During his tenure as a GIS expert, Abdishakur has developed fully fledged GIS applications in the urban planning and land administration domains. He is interested in all things related to geospatial data science.

See other products by Abdishakur Hassan

Jayakrishnan Vijayaraghavan

Jayakrishnan Vijayaraghavan

Jayakrishnan Vijayaraghavan is a geospatial data scientist, innovator, and author of a book titled ArcGIS for JavaScript developers. He currently resides in the San Francisco Bay Area and has over 8 years of work experience. He has built patented technologies and products in the geospatial domain and has coached teams on leveraging mapping and spatial analytics tools for solving pertinent business problems. He is adept at computational geometry, especially in graph networks and in geospatial inferencing. He is a DAAD scholar and a winner of the UN-Habitat special jury award. He is keen on developing intelligent and ubiquitous mapping systems by integrating ML and DL techniques with GIS. He is also a novelist and a certified UAV pilot.

See other products by Jayakrishnan Vijayaraghavan

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