From Python programming good practices to the advanced use of analysis packages, this book teaches you how to write applications that will perform complex geoprocessing tasks that can be replicated and reused.
Much more than simple scripts, you will write functions to import data, create Python classes that represent your features, and learn how to combine and filter them.
With pluggable mechanisms, you will learn how to visualize data and the results of analysis in beautiful maps that can be batch-generated and embedded into documents or web pages.
Finally, you will learn how to consume and process an enormous amount of data very efficiently by using advanced tools and modern computers’ parallel processing capabilities.

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Spis treści

Geospatial Development By Example with Python. Build your first interactive map and build location-aware applications using cutting-edge examples in Python eBook -- spis treści

• 1. Installation, preparing the work environment
• 2. App 1 - Geocaching App
• 3. Combining multiple sources of data
• 4. Improving the app search capabilities
• 5. Map maker
• 6. Working with remote sensing images
• 7. Extract information from raster data and draw it on the map
• 8. Data Miner App
• 9. Processing big images and combining the data
• 10. Make it faster - Parallel Processing