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Learning Geospatial Analysis with Python

You're reading from   Learning Geospatial Analysis with Python Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7

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Product type Paperback
Published in Sep 2019
Publisher
ISBN-13 9781789959277
Length 456 pages
Edition 3rd 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 (15) Chapters Close

Preface 1. Section 1: The History and the Present of the Industry
2. Learning about Geospatial Analysis with Python FREE CHAPTER 3. Learning Geospatial Data 4. The Geospatial Technology Landscape 5. Section 2: Geospatial Analysis Concepts
6. Geospatial Python Toolbox 7. Python and Geographic Information Systems 8. Python and Remote Sensing 9. Python and Elevation Data 10. Section 3: Practical Geospatial Processing Techniques
11. Advanced Geospatial Python Modeling 12. Real-Time Data 13. Putting It All Together 14. Other Books You May Enjoy

Understanding geospatial databases

A geospatial database, or geodatabase, refers to an entire category of file formats, data schemas, and even software. In Chapter 3, The Geospatial Technology Landscape, we'll cover geodatabases as software packages, formally known as database management systems. But in this section, we'll describe their attributes as file formats. Geodatabases historically stored only vector data, though modern geodatabases are well-suited for raster data management as well.

Geodatabases can exhibit all of the common traits we noted previously. This information is stored in the database in what we call the database model. A very popular model is the traditional relational model, which uses tables of rows and columns. Each row and column combination is called a cell. Rows can be related to another table to link information using a designated column where...

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