2008-11-27

2008-11-27 Thursday - GIS Books

I've created a GIS category in my Amazon recommendations bookstore.

I've also created a short-list of GIS resource links.

Here are a few of the selections that look interesting or are Open Source related:





Desktop GIS: Mapping the Planet with Open Source Tools
by Gary Sherman


Desktop GIS explores the world of Open Source GIS software and provides a guide to navigate the many options available. Discover what kind of GIS user you are and lay the foundation to evaluate the options and decide what software is best for you.
Desktop GIS examines the challenges associated with assembling and using an OSGIS toolkit. You'll find strategies for choosing a platform, selecting the right tools, integration, managing change, and getting support. The survey of OSGIS desktop applications provides you with a quick introduction to the many packages available. You'll see examples of both GUI (Graphical User Interface) and command line interfaces to give you a feel for what is available.

This book will give you an understanding of the Open Source GIS landscape, along with a detailed look at the major desktop applications, including GRASS, Quantum GIS, uDig, spatial databases, GMT, and other command line tools. Finally, the book exposes you to scripting in the OSGIS world, using Python, shell, and other languages to visualize, digitize, and analyze your data.










GIS for Web Developers: Adding 'Where' to Your Web Applications
by Scott Davis


GIS for Web Developers introduces Geographic Information Systems (GIS) in simple terms and demonstrates hands-on uses. With this book, you'll explore popular websites like maps.google.com, see the technologies they use, and learn how to create your own. Written with the usual Pragmatic Bookshelf humor and real-world experience, GIS for Web Developers makes geographic programming concepts accessible to the common developer.

This book will demystify GIS and show you how to make GIS work for you. You'll learn the buzzwords and explore ways to geographically-enable your own applications. GIS is not a fundamentally difficult domain, but there is a barrier to entry because of the industry jargon. This book will show you how to "walk the walk" and "talk the talk" of a geographer.

You'll learn how to find the vast amounts of free geographic data that's out there and how to bring it all together. Although this data is free, it's scattered across the web on a variety of different sites, in a variety of incompatible formats. You'll see how to convert it among several popular formats including plain text, ESRI Shapefiles, and Geography Markup Language (GML).










The KML Handbook: Geographic Visualization for the Web
by Josie Wernecke
KML began as the file format for Google Earth, but it has evolved into a full-fledged international standard for describing any geographic content—the “HTML of geography.” It’s already supported by applications ranging from Microsoft Virtual Earth and NASA WorldWind to Photoshop and AutoCAD. You can do amazing things with KML, and this book will show you how, using practical examples drawn from today’s best online mapping applications.









Beginning MapServer: Open Source GIS Development
by Bill Kropla


Beginning MapServer: Open Source GIS Development...offers a comprehensive introduction to MapServer, the development platform for integrating mapping technology into Internet applications. You'll learn how to build and extend dynamic applications using popular languages like PHP, Perl, and Python.

After a thorough introduction to installation and configuration, you'll uncover basic MapServer topics and examples. You'll also learn about advanced MapServer features, and how to query and incorporate dynamic data into your application. The book culminates with the creation of an actual mapping application.










Open Source GIS: A GRASS GIS Approach
by Markus Neteler, Helena Mitasova


Thoroughly updated with material related to the GRASS6, the third edition includes new sections on attribute database management and SQL support, vector networks analysis, lidar data processing and new graphical user interfaces. All chapters were updated with numerous practical examples using the first release of a comprehensive, state-of-the-art geospatial data set.

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