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Homepage>BS Standards>13 ENVIRONMENT. HEALTH PROTECTION. SAFETY>13.020 Environment protection>13.020.20 Environmental economics>BS ISO/IEC 5087-1:2023 Information technology. City data model Foundation level concepts
immediate downloadReleased: 2023-08-15
BS ISO/IEC 5087-1:2023 Information technology. City data model Foundation level concepts

BS ISO/IEC 5087-1:2023

Information technology. City data model Foundation level concepts

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Standard number:BS ISO/IEC 5087-1:2023
Pages:62
Released:2023-08-15
ISBN:978 0 539 14275 4
Status:Standard

BS ISO/IEC 5087-1:2023 Information Technology. City Data Model Foundation Level Concepts

Introducing the BS ISO/IEC 5087-1:2023, a comprehensive guide to the foundational concepts of city data modeling in the field of Information Technology. This standard is a must-have for professionals, researchers, and students who are keen on understanding and implementing city data models. With its release on 15th August 2023, it is one of the most recent and up-to-date standards in the field.

The BS ISO/IEC 5087-1:2023 is a product of meticulous research and expert insights, spanning over 62 pages of in-depth knowledge. It is a valuable resource that provides a solid foundation for understanding the complex world of city data modeling. The standard is published under the ISBN 978 0 539 14275 4, making it easily identifiable and accessible in libraries and bookstores worldwide.

What is City Data Modeling?

City data modeling is a crucial aspect of Information Technology that deals with the representation of cities in a digital format. It involves the creation of a structured framework that can capture, manage, and analyze data related to various aspects of a city, such as infrastructure, population, services, and more. The BS ISO/IEC 5087-1:2023 provides a comprehensive understanding of these foundational concepts, making it an invaluable resource for anyone involved in this field.

Why Choose BS ISO/IEC 5087-1:2023?

The BS ISO/IEC 5087-1:2023 is a standard, meaning it is recognized and accepted by professionals worldwide. It provides a universally accepted framework for understanding and implementing city data models. By adhering to this standard, you can ensure that your work is in line with the best practices in the industry.

Furthermore, the BS ISO/IEC 5087-1:2023 is a comprehensive guide that covers all the foundational concepts of city data modeling. It provides a detailed explanation of the principles, methodologies, and techniques involved in this field. Whether you are a beginner just starting out or an experienced professional looking to update your knowledge, this standard is an excellent resource.

Key Features of BS ISO/IEC 5087-1:2023

The BS ISO/IEC 5087-1:2023 is packed with features that make it a standout choice for anyone interested in city data modeling. Here are some of the key features:

  • Comprehensive Coverage: The standard covers all the foundational concepts of city data modeling, providing a complete understanding of the field.
  • Expert Insights: The standard is a product of expert insights and meticulous research, ensuring that you get the most accurate and up-to-date information.
  • Easy to Understand: The standard is written in a clear and concise manner, making it easy to understand even for those who are new to the field.
  • Universally Accepted: As a standard, the BS ISO/IEC 5087-1:2023 is recognized and accepted worldwide, ensuring that your work is in line with the best practices in the industry.

In conclusion, the BS ISO/IEC 5087-1:2023 is a comprehensive, up-to-date, and universally accepted guide to the foundational concepts of city data modeling. Whether you are a professional, a researcher, or a student, this standard is a must-have resource for you. Get your copy today and take your understanding of city data modeling to the next level!

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BS ISO/IEC 5087-1:2023


This standard BS ISO/IEC 5087-1:2023 Information technology. City data model is classified in these ICS categories:
  • 35.240.99 IT applications in other fields
  • 13.020.20 Environmental economics