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Key benefits

Build web applications based around maps and geospatial data using Python 3.x

Install and use various toolkits and obtain geospatial data for use in your programs

This practical, hands-on book will teach you all about geospatial development in Python

Description

Geospatial development links your data to locations on the surface of the Earth. Writing geospatial programs involves tasks such as grouping data by location, storing and analyzing large amounts of spatial information, performing complex geospatial calculations, and drawing colorful interactive maps. In order to do this well, you’ll need appropriate tools and techniques, as well as a thorough understanding of geospatial concepts such as map projections, datums, and coordinate systems. This book provides an overview of the major geospatial concepts, data sources, and toolkits. It starts by showing you how to store and access spatial data using Python, how to perform a range of spatial calculations, and how to store spatial data in a database. Further on, the book teaches you how to build your own slippy map interface within a web application, and finishes with the detailed construction of a geospatial data editor using the GeoDjango framework. By the end of this book, you will be able to confidently use Python to write your own geospatial applications ranging from quick, one-off utilities to sophisticated web-based applications using maps and other geospatial data.

What you will learn

* Access, manipulate, and display geospatial data from within your Python programs

* Master the core geospatial concepts of location, distance, units, projections, and datums

* Read and write geospatial data in both vector and raster format

* Perform complex, real-world geospatial calculations using Python

* Store and access geospatial information in a database

* Use points, lines, and polygons within your Python programs

* Convert geospatial data into attractive maps using Python-based tools

* Build complete web-based mapping applications using Python

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

Frequently bought together

€43.99

€43.99

Learning Geospatial Analysis with Python-Second Edition

€43.99

Total € 131.97

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Sophie Milich Mar 08, 2020

Helped me get a 100 on my programming midterm!!

Amazon Verified review

Manoj Joshi Oct 26, 2017

This is an outstanding book. I have spent days trying to understand how the geospatial design works, and this book is a life-saver. It's an incredible collection of concepts and examples. I have actually tried all the examples in the first 110 pages so far, and they work like a champ. Often the most important aspect for any software developer is the ability to install the packages. This book gives brief instructions that save time and just work at the first shot. Once you get past installation, the programming examples are a breeze. My suggestion is you must try to run each of these examples and fully understand the concepts before you move ahead. And yes, the concepts are very well explained. There are plenty of figures and pictures with lots of documentation about the source code. There is a detailed description of all the tools that you can use in python. I like the way the author has collected all information about mapping tools, and basic Math knowledge required for computing say the polygons and the layers. This includes explaining the maps and how cartographic methods work. I like the pointers to downloadable datasets. All the links work perfectly. There is a remarkable number of file formats that have been discussed. This book will be worth every penny you invest. A valuable life time resource.

Danilo Mar 05, 2025

Excelent!

Subscriber review

Fence Lizard Dec 22, 2016

I bought this book as an aid to learning Python-based geo processing. I have a strong programming background, and I've worked extensively with GIS, but I need to develop my ability to programmatically process rasters and vector data. As others have noted, this book would be helpful to someone completely new to GIS and geo-referenced data. The material on core GIS concepts is actually pretty good. But as a guide to Python geo-processing, the book is woefully inadequate. Essential libraries, such as GDAL, are introduced briefly, without enough depth to get someone past the most basic usage. That shallow approach is a running theme, and so while the newbie will receive a decent overview of the topics addressed, he won't pick up any but the most rudimentary skills. If you're interested in developing serious skills for Python geo-processing, look elsewhere.

Python Geospatial Development: Develop sophisticated mapping applications from scratch using Python 3 tools for geospatial development , Third Edition

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