Build your first interactive map and build location-aware applications using cutting-edge examples in PythonAbout This Book- 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- Proce
Geospatial Development By Example with Python
β Scribed by Carreira P.
- Tongue
- English
- Leaves
- 472
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Packt Publishing, 2016. β 272 p. β ISBN: 9781785282355
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.
β¦ Subjects
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<h4>Key Features</h4><ul><li>Learn the full geo-processing workflow using Python with open source packages</li><li>Create press-quality styled maps and data visualization with high-level and reusable code</li><li>Process massive datasets efficiently using parallel processing</li></ul><h4>Book Descri
This is a tutorial style book that will teach usage of Python tools for GIS using simple practical examples and then show you how to build a complete mapping application from scratch. The book assumes basic knowledge of Python. No knowledge of Open Source GIS is required. This book is useful for Pyt
<h3>Kurzbeschreibung</h3><p>This is a tutorial style book that will teach usage of Python tools for GIS using simple practical examples and then show you how to build a complete mapping application from scratch. The book assumes basic knowledge of Python. No knowledge of Open Source GIS is required.
Geospatial development links your data to places on the Earth's surface. Writing geospatial programs involves tasks such as grouping data by location, storing and analyzing large amounts of spatial information, performing complex geospatial calculations, and drawing colorful interactive maps. In ord