Attribute Management in SGIS Desktop v1.2: Joining Multiple Attribute Fields from Multiple Tables Derived from Various CAD Layers

This guide provides a step-by-step walkthrough to help users understand how to complete this task in SGIS. We’re using a real-world scenario provided by a user, which means the data hasn’t been cleaned, giving us the opportunity to explore all the steps together. Using real-life data offers a clearer understanding of the process and better demonstrates the software's capabilities. Joining multiple attribute fields from different tables and CAD layers in GIS is essential for effective data integration and analysis. It allows users to combine diverse datasets, enabling more comprehensive spatial queries, visualizations, and decision-making.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-13
DOI
https://doi.org/10.5281/zenodo.13765385
Primary Topic
Statistical Methods and Applications
Type
article
Field-Weighted Citation Impact
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article

Attribute Management in SGIS Desktop v1.2: Joining Multiple Attribute Fields from Multiple Tables Derived from Various CAD Layers

Zenodo (CERN European Organization for Nuclear Research)
Statistical Methods and Applications
article

Attribute Management in SGIS Desktop v1.2: Joining Multiple Attribute Fields from Multiple Tables Derived from Various CAD Layers

article en

Abstract

This guide provides a step-by-step walkthrough to help users understand how to complete this task in SGIS. We’re using a real-world scenario provided by a user, which means the data hasn’t been cleaned, giving us the opportunity to explore all the steps together. Using real-life data offers a clearer understanding of the process and better demonstrates the software's capabilities. Joining multiple attribute fields from different tables and CAD layers in GIS is essential for effective data integration and analysis. It allows users to combine diverse datasets, enabling more comprehensive spatial queries, visualizations, and decision-making.

Zenodo (CERN European Organization for Nuclear Research)
Soft99 (Japan) (JP), Soft Imaging LLC (United States) (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 54%
Statistical Methods and Applications
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