Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
PostGIS Cookbook

You're reading from   PostGIS Cookbook For web developers and software architects this book will provide a vital guide to the tools and capabilities available to PostGIS spatial databases. Packed with hands-on recipes and powerful concepts

Arrow left icon
Product type Paperback
Published in Jan 2014
Publisher
ISBN-13 9781849518666
Length 484 pages
Edition Edition
Languages
Tools
Arrow right icon
Toc

Table of Contents (18) Chapters Close

PostGIS Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Moving Data In and Out of PostGIS FREE CHAPTER 2. Structures that Work 3. Working with Vector Data – The Basics 4. Working with Vector Data – Advanced Recipes 5. Working with Raster Data 6. Working with pgRouting 7. Into the Nth Dimension 8. PostGIS Programming 9. PostGIS and the Web 10. Maintenance, Optimization, and Performance Tuning 11. Using Desktop Clients Index

Importing netCDF datasets with Python and GDAL


In this recipe, you will write a Python script to import data from the netCDF format to PostGIS.

netCDF is an open standard format, widely used for scientific applications, that can contain multiple raster datasets, each composed of a spectrum of bands. For this purpose, you will use the GDAL Python bindings and the popular Numpy scientific library.

Getting ready

  1. If you are using Windows, be sure to install OSGeo4W, as suggested in the initial instructions of this chapter, that will include Python and GDAL Python bindings with Numpy support.

    For Linux users, if you did not do it, follow the initial instructions of this chapter and create a Python virtual environment, in order to keep a Python-isolated environment to be used for all the Python recipes of this book, and activate it:

    $ source postgis-cb-env/bin/activate
    
  2. For this recipe, you need the GDAL Python bindings and Numpy, the latest being needed by some GDAL methods (ReadAsArray) for arrays...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime