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2023 | OriginalPaper | Chapter

7. Non-spatial Data Management

Authors : Manish Kumar, R. B. Singh, Anju Singh, Ram Pravesh, Syed Irtiza Majid, Akash Tiwari

Published in: Geographic Information Systems in Urban Planning and Management

Publisher: Springer Nature Singapore

Abstract

In previous units, you learned about GIS concepts, spatial data, data models and data structures. In a typical GIS, both spatial and non-spatial data are used. Spatial data describes the location of features, whereas non-spatial data describes their characteristics. Attribute data is another name for non-spatial data. Geospatial data is a combination of both types of data. It means that both (spatial and non-spatial) data are required for a GIS to function properly. In this chapter, we will go over the concept of non-spatial data in depth. On the completion of this chapter students will be able to learn the following concepts about non-spatial data/attribute data:
  • Introduction
  • Basics of the Non-Spatial Data in geoinformatics
  • Concept of the Relational Model
  • Understanding the concept of joins, relates and relationship classes within GIS
  • Spatial Join
  • Concept of the entry of attribute (tabular data)
  • Fields and attribute data modification.

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Metadata
Title
Non-spatial Data Management
Authors
Manish Kumar
R. B. Singh
Anju Singh
Ram Pravesh
Syed Irtiza Majid
Akash Tiwari
Copyright Year
2023
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-19-7855-5_7

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