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Python geospatial development : build a complete and sofisticated mapping application from scratch using Python tools for GIS development /

Open Source GIS (Geographic Information System) is a growing area with the explosion of applications such as Google Maps, Google Earth, and GPS. The GIS market is growing rapidly and as a Python developer you will find yourself either wanting grounding in GIS or needing to get up to speed to do your...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Westra, Erik
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Olton, Birmingham : Packt Pub., ©2010.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Python geospatial development :  |b build a complete and sofisticated mapping application from scratch using Python tools for GIS development /  |c Erik Westra. 
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505 0 |a 1. Geo-spatial development using Python -- 2. GIS -- 3. Python libraries for Geo-spatial development -- 4. Sources of Geo-spatial data -- 5. Working with Geo-spatial data in Python -- 6. GIS in the database -- 7. Working with spatial data-- 8. Using Python and Mapnik to generate maps -- 9. Web frameworks for Python geo-spatial development -- 10. Putting it all together: a complete mapping application -- 11. ShapeEditor: implementing list view, import, and export -- 12. ShapeEditor: selecting and editing features -- Index. 
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520 8 |a Open Source GIS (Geographic Information System) is a growing area with the explosion of applications such as Google Maps, Google Earth, and GPS. The GIS market is growing rapidly and as a Python developer you will find yourself either wanting grounding in GIS or needing to get up to speed to do your job. In today's location-aware world, all commercial Python developers can benefit from an understanding of GIS development gained using this book. Working with geo-spatial data can get complicated because you are dealing with mathematical models of the Earth's surface. Since Python is a powerful programming language with high-level toolkits, it is well suited to GIS development. will familiarize you with the Python tools required for geo-spatial development such as Mapnik, which is used for mapping in Python. It introduces GIS at the basic level with a clear, detailed walkthrough of the key GIS concepts such as location, distance, units, projections, datums, and GIS data formats. We then examine a number of Python libraries and combine these with geo-spatial data to accomplish a variety of tasks. The book provides an in-depth look at the concept of storing spatial data in a database and how you can use spatial databases as tools to solve a variety of geo-spatial problems. It goes into the details of generating maps using the Mapnik map-rendering toolkit, and helps you to build a sophisticated web-based geo-spatial map-editing application using GeoDjango, Mapnik, and PostGIS. By the end of the book, you will be able to integrate spatial features into your applications and build a complete mapping application from scratch. A hands-on tutorial about accessing, manipulating, and displaying Geo-Spatial data efficiently using a range of Python tools for GIS development. 
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