English
资源说明：Key Features
Learn the full geo-processing workflow using Python with open source packages
Create press-quality styled maps and data visualization with high-level and reusable code
Process massive datasets efficiently using parallel processing
Book Description
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.
Table of Contents
Chapter 1. Preparing the Work Environment
Chapter 2. The Geocaching App
Chapter 3. Combining Multiple Data Sources
Chapter 4. Improving the App Search Capabilities
Chapter 5. Making Maps
Chapter 6. Working with Remote Sensing Images
Chapter 7. Extract Information from Raster Data
Chapter 8. Data Miner App
Chapter 9. Processing Big Images
Chapter 10. Parallel Processing
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