Learning Geospatial Analysis with Python

More Information
Learn
  • Automate Geospatial analysis workflows using Python
  • Code the simplest possible GIS in 60 lines of Python
  • Mold thematic maps with Python tools
  • Get a hold of the various forms the geospatial data comes in
  • Produce elevation contours using Python tools
  • Create flood inundation models
  • Learn Real-Time Data tracking and apply it in storm chasing
About

Geospatial analysis is used in almost every field you can think of from medicine, to defense, to farming. It is an approach to use statistical analysis and other informational engineering to data which has a geographical or geospatial aspect. And this typically involves applications capable of geospatial display and processing to get a compiled and useful data.

"Learning Geospatial Analysis with Python" uses the expressive and powerful Python programming language to guide you through geographic information systems, remote sensing, topography, and more. It explains how to use a framework in order to approach Geospatial analysis effectively, but on your own terms.

"Learning Geospatial Analysis with Python" starts with a background of the field, a survey of the techniques and technology used, and then splits the field into its component speciality areas: GIS, remote sensing, elevation data, advanced modelling, and real-time data.

This book will teach you everything there is to know, from using a particular software package or API to using generic algorithms that can be applied to Geospatial analysis. This book focuses on pure Python whenever possible to minimize compiling platform-dependent binaries, so that you don’t become bogged down in just getting ready to do analysis.

"Learning Geospatial Analysis with Python" will round out your technical library with handy recipes and a good understanding of a field that supplements many a modern day human endeavors.

Features
  • Construct applications for GIS development by exploiting Python
  • Focuses on built-in Python modules and libraries compatible with the Python Packaging Index distribution system – no compiling of C libraries necessary
  • This is a practical, hands-on tutorial that teaches you all about Geospatial analysis in Python
Page Count 364
Course Length 10 hours 55 minutes
ISBN 9781783281138
Date Of Publication 24 Oct 2013

Authors

Joel Lawhead

Joel Lawhead is a PMI-certified Project Management Professional (PMP), a certified Geographic Information Systems Professional, and an award-winning firm specializing in geospatial technology integration and harsh-environment engineering.

Joel builds geospatial systems for US government agencies, including NASA, NOAA, the US Department of Homeland Security, and the military. He also works with private organizations, including the National Oceans and Applications Research Center (NOARC) and The Ocean Cleanup. He has authored other books with Packt Publishing, including Learning Geospatial Analysis with Python, QGIS Python Programming Cookbook, and Learning Geospatial Analysis with Python, Second Edition. His cookbook recipes have been featured in two editions of the O'Reilly Python Cookbook.

Joel began using Python in 1997 and combined it with geospatial software development in 2000. He is also the developer of the widely used open source Python Shapefile Library (PyShp) and Twitter feed, @SpatialPython, discussing the use of Python within the geospatial industry.

In 2011, Joel reverse-engineered and published the undocumented shapefile spatial indexing format and assisted fellow geospatial Python developer, Marc Pfister, in reversing the compression algorithm, allowing developers around the world to create better integrated and more robust geospatial applications involving shapefiles.

In 2002, Joel received the international Esri Special Achievement in GIS award for his work on the Real-Time Emergency Action Coordination Tool (REACT) for emergency management using geospatial analysis.