Book Image

Learning Geospatial Analysis with Python

By : Joel Lawhead
4 (1)
Book Image

Learning Geospatial Analysis with Python

4 (1)
By: Joel Lawhead

Overview of this book

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.
Table of Contents (17 chapters)
Learning Geospatial Analysis with Python
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

About the Reviewers

Jorge Samuel Mendes de Jesus has 15 years of programming experience in the field of Geoinformatics, with focus on Python programming, web services, and spatial databases.

He has a PhD in Geography and Sustainable Development from Ben-Gurion University and has been employed by the Joint Research Center, ISPRA, Plymouth Marine Laboratory and currently works at ISRIC, World Soil Information.

He currently lives in Wageningen, the Netherlands and spends his time learning combat sports and Dutch.

Athanasios Tom Kralidis is a Senior Systems Scientist for the Meteorological Service of Canada, where he provides geospatial technical and architectural leadership in support of MSC's data. His professional background includes key involvement in the development and integration of geospatial web standards, systems and services for the Canadian Geospatial Data Infrastructure (CGDI) with Natural Resources Canada (NRCan), as well as using these principles in architecting RésEau, Canada's water information portal.

He is active in the Open Geospatial Consortium (OGC) community, was lead contributer to the OGC Web Map Context Documents Specification, member of the CGDI Architecture Advisory Board, as well as part of the Canadian Advisory Committee to ISO Technical Committee 211 Geographic Information / Geomatics.

He is a developer on the MapServer, GeoNode and OWSLib open source software projects, and part of the MapServer Project Steering Committee. He is the founder and lead developer of pycsw, an OGC-compliant CSW reference implementation. He is also a charter member of the OGC.

Tom holds a Bachelor's degree in Geography from York University, GIS certification from Algonquin College, and a Master's degree in Geography and Environmental Studies (research and dissertation in Geospatial Web Services / Infrastructure) from Carleton University. He is a Certified Geomatics Specialist (GIS/LIS) with the Canadian Institute of Geomatics.

Alessandro Pasotti is the founder of ItOpen, an Italian web development consultancy focused on web GIS development and accessible websites. He has been programming for over two decades and he is now mainly a web application developer, handling both frontend and backend development.

He fell in love with Linux and free software in 1994 and never turned back. He spends most of his time developing web GIS applications in Python using GeoDjango and JavaScript mapping libraries such as OpenLayers.