It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.
Cultural heritage identifies and preserves past achievements for the benefit of future generations. Examining the extent to which heritage preservation is feasible in an era governed by modernism and globalization is essential for both regional development and cultural conservation. Conservation, Restoration, and Analysis of Architectural and Archaeological Heritage provides innovative insights into digital technologies that have produced important methodological changes in the documentation, analysis, and conservation of cultural heritage. The content within this publication represents the work of digital restoration, inclusive communication, and reality-based representation. It is a vital reference source for software developers, sociologists, policymakers, tourism managers, and academicians seeking coverage on digital technologies and data processing in cultural heritage.
Communities have witnessed a fundamental shift in the ways they interact with heritage sites. Much of this change has been driven by the rapid democratization and widespread adoption of enabling technologies. As expediency is embraced in the collection and analysis of data, there may also be a certain amount of intimacy lost with both the tangible and intangible vestiges of the past. Analysis, Conservation, and Restoration of Tangible and Intangible Cultural Heritage is a collection of innovative research on the quantitative methods and digital workflows transforming cultural heritage. There is no contesting the value of advanced non-destructive diagnostic imaging techniques for the analysis of heritage structures and objects. Highlighting topics including 3D modeling, conservation, and digital surveying, this book is ideally designed for conservation and preservation specialists, archaeologists, anthropologists, historians, academicians, and students seeking current research on data-driven, evidence-based decision making to improve intervention outcomes.