Autor: Michael Diener
Broj strana: 330
ISBN broj: 9781783555079
Izdavač: PACKT PUBLISHING
Godina izdanja: 2015.
Pregleda (30 dana / ukupno): 19 / 1817
If you are a student, teacher, programmer, geospatial or IT administrator, GIS analyst, researcher, or scientist looking to do spatial analysis, then this book is for you. Anyone trying to answer simple to complex spatial analysis questions will get a working demonstration of the power of Python with real-world data. Some of you may be beginners with GIS, but most of you will probably have a basic understanding of geospatial analysis and programming.
Geospatial development links your data to places on the Earth’s surface. Its analysis is used in almost every industry to answer location type questions. Combined with the power of the Python programming language, which is becoming the de facto spatial scripting choice for developers and analysts worldwide, this technology will help you to solve real-world spatial problems.
This book begins by tackling the installation of the necessary software dependencies and libraries needed to perform spatial analysis with Python. From there, the next logical step is to prepare our data for analysis; we will do this by building up our tool box to deal with data preparation, transformations, and projections. Now that our data is ready for analysis, we will tackle the most common analysis methods for vector and raster data. To check or validate our results, we will explore how to use topology checks to ensure top-quality results. Finally, we put it all together in a GeoDjango web application that demonstrates a final working spatial analysis application. The round trip will provide you all the pieces you need to accomplish your own spatial analysis application to suit your requirements.
Michael Diener graduated from Simon Fraser University, British Columbia, Canada, in 2001 with a Bachelor of Science degree in Geography. He began working in 1995 with Environment Canada as a GIS (Geographic Information Systems) Analyst and has continued to work with GIS ever since.
Beginning in 2008, he founded a company called GOMOGI focused on performing GIS for mobile and web applications with open source software.
Michael holds seminars for organizations wanting to explore or discover the possibilities of how GIS can increase productivity and better answer spatial questions. He is also the creative head of new product development and a Python developer working with a wide range of spatial software on a daily basis. Developing spatial applications through the years, he has always used Python to get the job done.
He is also lecturer of GIS at the Alpen Adria University, Klagenfurt, where he enjoys teaching students the wonderful powers of GIS and explaining how to solve spatial problems with open source GIS and Python.
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