Python Geospatial Development Essentials

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  • Design and structure a basic GIS application based on existing tools
  • Customize Tkinter application widgets to make your very own toolkit of flexible and reusable GIS widgets
  • Load, manipulate, and save spatial data, both vector and raster
  • Create an interactive and zoomable window for visualizing spatial data
  • Manage and organize spatial data
  • Create the beginnings of a comprehensive Python library for many types of geospatial tasks, and use this API as the engine behind your application
  • Package your final application into a lightweight and portable executable application

This book provides you with the resources to successfully develop your own GIS application in Python. The book begins by walking you through the loading and saving of data structures before you start to build the look and feel of your application and create its interactive map window. You'll then move on to managing, editing, and analyzing spatial data from within the application and finish with instructions for packaging the application for distribution.

By the end of the book, you should be able to use your GIS application as a template for further development, with the potential to expand and customize it to suit your needs.

  • Develop a GIS application that you can easily modify and customize
  • Optimize your GIS application for user productivity and efficiency
  • Discover Python’s many geospatial libraries and learn how they can work together
Page Count 192
Course Length 5 hours 45 minutes
ISBN 9781782175407
Date Of Publication 16 Jun 2015


Karim Bahgat

Karim Bahgat holds an MA in peace and conflict transformation from the University of Tromsø in Norway, where he focused on the use of geographic information systems (GIS), opinion survey data, and open source programming tools in conflict studies. Since then, he has been employed as a research assistant for technical and geospatial work at the Peace Research Institute Oslo (PRIO) and the International Law and Policy Institute (ILPI). Karim was part of the early prototyping of the PRIO-GRID unified spatial data structure for social science and conflict research, and is currently helping develop a new updated version (

His main use of technology, as a developer, has been with Python programming, geospatial tools and mapping, the geocoding of textual data, data visualization, application development, and some web technology. Karim is the author of a journal article publication, numerous data- and GIS-oriented Python programming libraries, the Easy Georeferencer free geocoding software, and several related technical websites, including