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Learning Geospatial Analysis with Python

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Author:

Joel Lawhead

Number Of Reads:

4

Language:

English

Category:

geography

Pages:

50

Quality:

excellent

Views:

1848

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Book Description

This is a tutorial-style book that helps you to perform Geospatial and GIS analysis with Python and its tools/libraries. This book will first introduce various Python-related tools/packages in the initial chapters before moving towards practical usage, examples, and implementation in specialized kinds of Geospatial data analysis.This book is for anyone who wants to understand digital mapping and analysis and who uses Python or another scripting language for automation or crunching data manually.This book primarily targets Python developers, researchers, and analysts who want to perform Geospatial, modeling, and GIS analysis with Python.

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Joel Lawhead

Joel Lawhead is a PMI-certified Project Management Professional (PMP), a certified Geographic Information Systems Professional (GISP) and the Chief Information Officer (CIO) for NVisionSolutions.com, an award-winning firm specializing in geospatial technology integration and sensor engineering. Joel is the author of Packt's "Learning Geospatial Analysis with Python" (2013) and "QGIS Python Programming Cookbook" (2015). He began using Python in 1997 and started applying it to geospatial software development in 2000. Joel has been published in two editions of O'Reilly's Python Cookbook. He is also the developer of the widely-used, open source Python Shapefile Library (PyShp) and maintains the geospatial technical blog GeospatialPython.com and Twitter feed @SpatialPython discussing the use of the Python programming language within the geospatial industry. Joel focuses on low-to-zero-dependency Python solutions using the "batteries included" libraries of Python.
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