Book Image

Learning Geospatial Analysis with Python - Third Edition

By : Joel Lawhead
Book Image

Learning Geospatial Analysis with Python - Third Edition

By: Joel Lawhead

Overview of this book

Geospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. With this systematic guide, you'll get started with geographic information system (GIS) and remote sensing analysis using the latest features in Python. This book will take you through GIS techniques, geodatabases, geospatial raster data, and much more using the latest built-in tools and libraries in Python 3.7. You'll learn everything you need to know about using software packages or APIs and generic algorithms that can be used for different situations. Furthermore, you'll learn how to apply simple Python GIS geospatial processes to a variety of problems, and work with remote sensing data. By the end of the book, you'll be able to build a generic corporate system, which can be implemented in any organization to manage customer support requests and field support personnel.
Table of Contents (15 chapters)
Free Chapter
1
Section 1: The History and the Present of the Industry
5
Section 2: Geospatial Analysis Concepts
10
Section 3: Practical Geospatial Processing Techniques

Geocoding

Geocoding is the process of converting a street address into latitude and longitude. This operation is critical to in-vehicle navigation systems and online driving direction websites. Python has two excellent geocoder libraries available named geocoder and geopy. Both take advantage of online geocoding services to allow you to geocode addresses programmatically. The geopy library even lets you reverse geocode to match a latitude and longitude to the nearest address:

  1. First, let's do a quick example with the geocoder library, which defaults to using Google Maps as its engine:
import geocoder
g = geocoder.google('1403 Washington Ave, New Orleans, LA 70130')
print(g.geojson)
# {'type': 'Feature', 'geometry': {'type': 'Point', 'coordinates': [-90.08421849999999, 29.9287839]},
'bbox': {&apos...