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Geospatial Development By Example with Python

Geospatial Development By Example with Python

By : Pablo Carreira
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Geospatial Development By Example with Python

Geospatial Development By Example with Python

5 (4)
By: Pablo Carreira

Overview of this book

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 (12 chapters)
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11
Index

Summary


In this chapter, we took raw raster data, and with a series of techniques, we were able to extract statistical information from it and display it on high quality maps. These procedures took us to a high level of communication in terms of geospatial information because the material produced is easy to interpret, even for untrained eyes.

In the next chapter, we will enter a new field and start taking care of the efficiency of our code in order to process massive geospatial datasets in a timely manner.

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