Utilize Python with open source libraries to build a lightweight, portable, and customizable GIS desktop application
This book is ideal for Python programmers who are tasked with or wish to make a special-purpose GIS application. Analysts, political scientists, geographers, and GIS specialists seeking a creative platform to experiment with cutting-edge spatial analysis, but who are still only beginners in Python, will also find this book beneficial. Familiarity with Tkinter application development in Python is preferable but not mandatory.
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Karim Bahgat
Karim Bahgat holds an MA in peace and conflict transformation from the University of Tromso 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 (https://www.prio.org/Data/PRIO-GRID/). 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 www.pythongisresources.wordpress.com.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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