Python Geospatial Development - Second Edition: If you're experienced in Python here's an opportunity to get deep into Geospatial development, linking data to global locations. No prior knowledge required ‚Äì this book takes you through it all, step by step. , Second Edition

Erik Westra

$54.99

5 (3 Ratings)

Paperback May 2013 508 pages 2nd Edition

Erik Westra

$54.99

5 (3 Ratings)

Paperback May 2013 508 pages 2nd Edition

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Key benefits

Build your own complete and sophisticated mapping applications in Python.
Walks you through the process of building your own online system for viewing and editing geospatial data
Practical, hands-on tutorial that teaches you all about geospatial development in Python

Description

Geospatial development links your data to places on the Earth's surface. 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. Python Geospatial Development - Second Edition teaches you everything you need to know about writing geospatial applications using Python. No prior knowledge of geospatial concepts, tools or techniques is required. The book guides you through the process of installing and using various toolkits, obtaining geospatial data for use in your programs, and building complete and sophisticated geospatial applications in Python. Python Geospatial Development teaches you everything you need to know about writing geospatial applications using Python. No prior knowledge of geospatial concepts, tools or techniques is required. The book guides you through the process of installing and using various toolkits, obtaining geospatial data for use in your programs, and building complete and sophisticated geospatial applications in Python. This book provides an overview of the major geospatial concepts, data sources and toolkits. It teaches 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. Because maps are such an important aspect of geospatial programming, the book teaches you how to build your own ‚Äúslippy map‚Äù interface within a web application, and finishes with the detailed construction of a geospatial data editor using Geodjango. Whether you want to write quick utilities to solve spatial problems, or develop sophisticated web applications based around maps and geospatial data, this book includes everything you need to know.

Who is this book for?

Experienced Python developers who want to learn about geospatial concepts, work with geospatial data, solve spatial problems, and build map-based applications. This book will be useful those who want to get up to speed with Open Source GIS in order to build GIS applications or integrate Geo-Spatial features into their existing applications.

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
Use Python-based tools for converting geospatial data into good looking maps
Build complete web-based mapping applications using Python

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sushmit sarmah Jan 05, 2014

This book is an excellent starting point for anyone who wants to get started on Geospatial development. The author takes you from the very basics of geospatial development explaining all definitions that you would require to get proficient in this subject. It is then a deep dive into programming in python starting with all the different libraries that are needed and how to make use of them. Code examples are provided for each topic.The best way to follow this book is to read and then practice the examples alongside. Very soon you would get comfortable with using the different tools available in python for geospatial development like gdal/ogr, shapely, mapnik, etc. It teaches you where to get your data, how to convert them from different formats, then customize them to your liking, store it in a database and the pros and cons of different databases and their spatial capabilities.You learn how to create your own maps with mapnik going into great detail with all the options available in mapnik. Lastly you learn how to use all the skills learnt throughout the book to create a web application.I would recommend this book to anyone who wishes to get started with geospatial development. All you need is some familiarity with python. It gives you a solid background and a starting point from which to learn more about the subject.

Amazon Verified review

W_v_N Sep 16, 2013

This book explained very clearly everything I needed to know about the "under the hood" workings of a GIS. I really like how it deals with every aspect, from the database to the graphics and everything in between. I highly recommend this book to anyone who wants a better understanding of how each component of a GIS function and work together to display an intelligent map.

Dean Howell Aug 17, 2013

Python Geospatial Development - Second Edition.The book is a comprehensive guide to all aspects of using Python in geospatial development. The book is a hands on tutorial taking you right from the libraries you and tools you will require, through every aspect of development to putting it all together in a complete mapping application.If you are new to the geospatial industry the book even has sections on the fundamentals of coordinate systems, projections, datums and common GIS data formats.The best part of the book, in my opinion, is all the code examples that guide you through every aspect of becoming a proficient geospatial developer. There are also many reference sites pointing you to further information about specific platforms, software packages and developer forums.I also liked the section on data formats and where to obtain data. This can be very useful for developers starting in the industry or even those who have been in the industry for a while. Data is the key to any good geospatial system.So if you are looking for a great resource to take your geospatial system to the next level, I highly recommend Python Geospatial Development - Second Edition.

Python Geospatial Development - Second Edition: If you're experienced in Python here's an opportunity to get deep into Geospatial development, linking data to global locations. No prior knowledge required ‚Äì this book takes you through it all, step by step. , Second Edition

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