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Python Geospatial Development Essentials

You're reading from   Python Geospatial Development Essentials Utilize Python with open source libraries to build a lightweight, portable, and customizable GIS desktop application

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781782175407
Length 192 pages
Edition 1st Edition
Languages
Concepts
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Author (1):
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Karim Bahgat Karim Bahgat
Author Profile Icon Karim Bahgat
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 (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.
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Toc

Table of Contents (10) Chapters Close

Preface 1. Preparing to Build Your Own GIS Application FREE CHAPTER 2. Accessing Geodata 3. Designing the Visual Look of Our Application 4. Rendering Our Geodata 5. Managing and Organizing Geographic Data 6. Analyzing Geographic Data 7. Packaging and Distributing Your Application 8. Looking Forward Index

Chapter 4. Rendering Our Geodata

This chapter is likely to be one of the most interesting ones in this book. Geographic visualization of data is one of the core features of a GIS application, whether used as an exploratory aid or to produce a map. Learning geographic visualization should prove educational on different levels. In this chapter, you will learn how to do the following:

  • Divide the rendering process into a series of renderings of one or more thematic layers
  • Implement basic graphics renderings for vector and raster data, based on the view extent and zoom level
  • Connect these renderings to our visual user interface, allowing interactive map visualization
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Authors (1)

Profile icon Karim Bahgat
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 (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.
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