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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

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789809411
Length 170 pages
Edition 1st Edition
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Authors (2):
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Abdishakur Hassan Abdishakur Hassan
Author Profile Icon Abdishakur Hassan
Abdishakur Hassan
Jayakrishnan Vijayaraghavan Jayakrishnan Vijayaraghavan
Author Profile Icon Jayakrishnan Vijayaraghavan
Jayakrishnan Vijayaraghavan
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Toc

Geofencing with Plotly

Now that we have covered all of the components of geofencing, we can perform geofencing concepts in practice using our trajectory data. We will utilize the Plotly visualization library to animate trajectories and visualize our geofencing application. We will bring three polygons that denote different use cases: an airport, beach, and city center.

Masking

First, we need to create a mask where we store whether a certain point is inside the geofence or not. We first read the geofence_polygons from the dataset provided with Notebook. Upload it first in Google Colab:

geofence_polygons = gpd.read_file('geofence_polygons.gpkg')
geofence_polygons
Geofence polygons

Let's plot and overlay geofence_polygons...

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