Learning Geospatial Analysis with Python

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About the Author

Joel Lawhead is a PMI-certified Project Management Professional (PMP) and the Chief Information Officer (CIO) for NVisionSolutions.com, an award-winning firm specializing in geospatial technology integration and sensor engineering.

He began using Python in 1997 and began combining it with geospatial software development in 2000. He has been published in two editions of the Python Cookbook by O'Reilly. 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.

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

He has served as the lead architect, project manager, and co-developer for geospatial applications used by US government agencies including NASA, FEMA, NOAA, the US Navy, as well as many commercial and non-profit organizations. In 2002, he received the international "Esri Special Achievment in GIS" award for work on the Real-time Emergency Action Coordination Tool (REACT) for emergency management using geospatial analysis.

I would like to acknowledge my loving family including my wife Julie and four children Lauren, Will, Lillie, and Lainie who allowed me to write this book after hours. Thank you to my parents who inspired me through their actions to pursue computers, teaching, and writing; all the ingredients needed for a technical book. I would also like to acknowledge the work of the geospatial Python pioneers whose relentless and selfless contributions over the years in developing and publishing code to the geospatial Python body of knowledge made the content of this book possible, including Sean Gillies, Howard Butler, Matthew Perry, Frank Warmerdam, and Marc Pfister.