Geoprocessing with Python First Edition

This is a great book to understand geoprocessing with Python. It uses GDAL, and mostly shows code in GeoTiff format, which is the best format for this type of work anyway. Pleasantly surprised at the no-nonsense, but explains everything style of the author. Highly recommend.

This book could simply stand on the merits of learning the basics of Python, using geospatial data as examples.The author has the ability to take complex principles and present those principles in an uncomplicated manner. The Python code examples are given line by line and does a great job in giving plain and straightforward explanations.Examples are used from many different types of vector and raster data, which gave me the opportunity to learn and understand geospatial formats with which I was not familiar.The book is broken down into logical chapters, each building upon the previous ones. Instruction is given on how to install and configure the Python programming environment. With other books, configuring the environment has not always been that straight forward.Geoprocessing with Python stands above other programming books I have read. What I really like about this particular book is that I can take the knowledge I gained throughout the book and create programs that are practical and useful in my craft as a GIS professional.

This is a fantastic resource if you want to understand how to use GDAL/OGR to read and process geospatial datasets using Python. Any Python developer should seriously consider using this book when starting looking in geospatial problems. The book contains a lot of organized information which is not easily findable in the web.Even if the author uses GDAL Python bindings, you will still find the book to be super useful when using more modern libraries like Fiona/Rasterio/Shapely.Congratulations to the author for putting together such a great amount of useful information in a single book.

With the number of applications that require some type of mapping or geoprocessing, this book is very relevant in today's app development. Personally, I really benefited in my day job from this book that had very good examples and clear explanations of the concepts allowing me to come up with clean design and make things easy. I would definitely recommend this book if you need to do any type of geoprocessing even if you are not using python. Concepts are well explained and can be applied to other languages.

I have purchased the book from manning website.This is one of the finest book not only for writing geoprocessing scripts in python but also you will get considerable amount of domain knowledge about GIS.I would recommend this book for every GIS developer.

I bought the book some weeks ago, and it has been veryuseful for my day to day work with raster and vector data. It covers a large variety of Topics from web mapping, the Basics of python, and Image classification using libraries such as scikit-learn. I highly recommend it, it gives you a clear understanding of the Basics on Image processing, which is the base to create high Quality Pipelines, and help you to avoid common pitfalls from not handling Errors in your scripts, not using the correct data types for your data, and more!

Very good book

This is a beginner level book intended to teach how to extract and manipulate geographical data using the python programming language, open source python libraries, some of the author's code (which is freely available online) and some author selected data (again freely available online). The material centres on working through the author's code examples.Although I suspect the author has put a lot of effort into the writing of the book and has the GIS expertise to expect to be able to carry it off, the book is marred by a series of awful deficiencies which make it very frustrating to use. Here is a list of some of them: 1. In order to work through the examples you will need to install various bits of downloadable software and data on your computer but the author does not provide an adequate set of instructions for achieving this. Bearing in mind the downloads come from various sources but have to cooperate this is a nightmare and for me at least, it required quite a few hours searching about online for information to get (some of?) the functionality working. 2. Many of the author's examples - some but not all of which are available by download - will not run as written. Often they can be easily fixed: for example, he will have a sequence of instructions to be run within an interactive python session but neglects to mention that you will have to import a particular module before starting out. Sometimes, the code just fails silently and it is a bit more effort to work out what is going wrong. There is a word for stuff that needs to be fixed before being usable ... it is broken. Let me repeat: many of the authour's examples are broken and will need to be debugged if you want to use them. 3. The author's arrangement of material is not from simple to complex. For example, chapter six which creates small collections of geometry from scratch entirely in python and is much simpler then the three chapters before it which involve importing large data sets with geometry plus attributes which you will want to use QGIS or similar to view in parallel with using python. These prior chapters also use other non-Python software such as Dropbox and SQL. 4. The author is happy to use non-core pieces of software to get an example or two to work (for example, the aforementioned Dropbox and SQL) which takes time and effort to install/ learn about, creates added brittleness and provides only the most marginal gains. This is a beginner-level book and hardly comprehensive ... it would have been better to drop these sections in favour of more extensive coverage elsewhere. 5. The book's diagrams are printed in black and white but to appreciate a number of them you need to be able to see the colour version. The publisher's fix for this is to give you 'free access' to the colour versions online. If you have ever grimaced at the ridiculousness of the use of the word 'complete' in 'The Complete Guide to ...' you will be positively gurning at having bought 'An Incomplete Guide to Geoprocessing in Python'. 6. The author is bad at giving overviews of the material he is about to deal with before diving into the details so it is hard to get any sense of the whole of the hedge before you get dragged through it ... backwards.If you have a choice of texts to learn this material ... I recommend using the other one. One star.

Gut geschrieben und praxisnah.