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Learning Geospatial Analysis with Python

You're reading from   Learning Geospatial Analysis with Python If you know Python and would like to use it for Geospatial Analysis this book is exactly what you've been looking for. With an organized, user-friendly approach it covers all the bases to give you the necessary skills and know-how.

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Product type Paperback
Published in Oct 2013
Publisher Packt
ISBN-13 9781783281138
Length 364 pages
Edition 1st Edition
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Author (1):
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Joel Lawhead Joel Lawhead
Author Profile Icon Joel Lawhead
Joel Lawhead
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Table of Contents (12) Chapters Close

Preface 1. Learning Geospatial Analysis with Python 2. Geospatial Data FREE CHAPTER 3. The Geospatial Technology Landscape 4. Geospatial Python Toolbox 5. Python and Geographic Information Systems 6. Python and Remote Sensing 7. Python and Elevation Data 8. Advanced Geospatial Python Modelling 9. Real-Time Data 10. Putting It All Together Index

Metadata management

Internet distribution of data has increased the importance of metadata. Data custodians are able to release a data set to the entire world for download without any personal interaction. The metadata record of a geospatial data set can follow it to help ensure the integrity and accountability for that data is maintained. Properly formatted metadata also allows for automated cataloguing, search indexing, and integration of data sets. Metadata has become so important that a common mantra within the geospatial community is "Data without metadata isn't data", meaning that a geospatial data set cannot be fully utilized and understood without metadata. The following section will list some of the common metadata tools which are available.

GeoNetwork

GeoNetwork is an open source, Java-based catalog server to manage geospatial data. It includes a metadata editor and search engine, as well as an interactive web map viewer. The system is designed to connect spatial...

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