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 Learning Geospatial Analysis with Python

You're reading from   Learning Geospatial Analysis with Python Unleash the power of Python 3 with practical techniques for learning GIS and remote sensing

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Product type Paperback
Published in Nov 2023
Publisher Packt
ISBN-13 9781837639175
Length 432 pages
Edition 4th 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 (18) Chapters Close

Preface 1. Part 1:The History and the Present of the Industry
2. Chapter 1: Learning about Geospatial Analysis with Python FREE CHAPTER 3. Chapter 2: Learning about Geospatial Data 4. Chapter 3: The Geospatial Technology Landscape 5. Part 2:Geospatial Analysis Concepts
6. Chapter 4: Geospatial Python Toolbox 7. Chapter 5: Python and Geospatial Algorithms 8. Chapter 6: Creating and Editing GIS Data 9. Chapter 7: Python and Remote Sensing 10. Chapter 8: Python and Elevation Data 11. Part 3:Practical Geospatial Processing Techniques
12. Chapter 9: Advanced Geospatial Modeling 13. Chapter 10: Working with Real-Time Data 14. Chapter 11: Putting It All Together 15. Assessments 16. Index 17. 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 to 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 each cell becomes a key referencing a cell in another table that then links the rows together.

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