Learning Geospatial Analysis with Python

Häftad, Engelska, 2013

AvJoel Lawhead

839 kr

Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Finns i fler format (3)

Häftad

619 kr

Skickas inom 5-8 vardagar

Häftad

819 kr

Skickas inom 5-8 vardagar

Häftad

889 kr

Skickas inom 5-8 vardagar

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.

Produktinformation

Utgivningsdatum2013-10-25
Mått75 x 93 x 20 mm
Vikt679 g
FormatHäftad
SpråkEngelska
Antal sidor364
FörlagPackt Publishing Limited
ISBN9781783281138

Tillhör följande kategorier

Webbprogrammering inom Data och it
Programspråk inom Data och it

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. Joel started using Python in 1997 and began combining it with geospatial software development in 2000. Joel has been published in two editions of the O'Reilly 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 Python programming language 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 algorithm used, allowing developers around the world to create better-integrated and more robust geospatial applications involving ShapeFiles. Joel has served as the lead architect, project manager, and co-developer for geospatial applications used by US government agencies including NASA, FEMA, NOAA, and the US Navy, as well as many commercial and non-profit organizations. In 2002, Joel 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.