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Practical GIS

You're reading from   Practical GIS Learn novice to advanced topics such as QGIS, Spatial data analysis, and more

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787123328
Length 428 pages
Edition 1st Edition
Languages
Tools
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Toc

Table of Contents (22) Chapters Close

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface
1. Setting Up Your Environment 2. Accessing GIS Data With QGIS FREE CHAPTER 3. Using Vector Data Effectively 4. Creating Digital Maps 5. Exporting Your Data 6. Feeding a PostGIS Database 7. A PostGIS Overview 8. Spatial Analysis in QGIS 9. Spatial Analysis on Steroids - Using PostGIS 10. A Typical GIS Problem 11. Showcasing Your Data 12. Styling Your Data in GeoServer 13. Creating a Web Map 14. Appendix

Using the attribute table


The first task in every work is to get used to the acquired data. We should investigate what kind of data it holds and what can we work with. We should formulate the most fundamental questions for successful work. Is there enough information for my analysis? Is it of the right type and format? Are there any No-Data values I should handle? If I need additional information, can I calculate them from the existing attributes? Some of these questions can be answered by looking at the attribute table, while some of them (especially when working with large vector data) can be answered by asking QGIS. To ask QGIS about vector layers, we have to use a specific language called SQL or Structured Query Language.

SQL in GIS

SQL is the query language of relational databases. Traditionally, it was developed to help make easy and powerful queries on relational tables. As attribute data can be considered tabular, its power for creating intuitive queries on vector layers is unquestionable...

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