NumPy is a package for scientific computing with Python. It handles multidimensional arrays of operations in a very efficient way. NumPy is required by OpenCV to run and will be used by many raster operations that we will perform in the examples. NumPy is also an efficient data container and will be our tool to calculate massive image data.
Geospatial Development By Example with Python
By :
Geospatial Development By Example with Python
By:
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 (17 chapters)
Geospatial Development By Example with Python
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Preparing the Work Environment
The Geocaching App
Combining Multiple Data Sources
Improving the App Search Capabilities
Making Maps
Working with Remote Sensing Images
Extract Information from Raster Data
Data Miner App
Processing Big Images
Parallel Processing
Index
Customer Reviews