This chapter examines the integration of data analytics within Extended Reality (XR) technologies—comprising Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR)—to enhance environmental sustainability metrics. As global environmental concerns intensify, XR offers innovative solutions for visualizing and interacting with complex data. The chapter introduces XR's relevance to sustainability, discussing techniques such as predictive modeling, data visualization, and real-time monitoring. Key applications include tracking indicators like air quality, energy consumption, and biodiversity, with data analytics providing actionable insights for informed decision-making. Case studies demonstrate the effectiveness of data-driven XR solutions in various sustainability initiatives. Additionally, challenges related to data integration, accuracy, and user engagement are explored, along with strategies to address these issues. The chapter concludes by highlighting future research directions, emphasizing the need for advancements in both data analytics and XR technologies to enhance environmental sustainability efforts.

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Data Analytics for XR-Based Environmental Sustainability Metrics

  • Krishnamurty Raju Mudunuru

摘要

This chapter examines the integration of data analytics within Extended Reality (XR) technologies—comprising Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR)—to enhance environmental sustainability metrics. As global environmental concerns intensify, XR offers innovative solutions for visualizing and interacting with complex data. The chapter introduces XR's relevance to sustainability, discussing techniques such as predictive modeling, data visualization, and real-time monitoring. Key applications include tracking indicators like air quality, energy consumption, and biodiversity, with data analytics providing actionable insights for informed decision-making. Case studies demonstrate the effectiveness of data-driven XR solutions in various sustainability initiatives. Additionally, challenges related to data integration, accuracy, and user engagement are explored, along with strategies to address these issues. The chapter concludes by highlighting future research directions, emphasizing the need for advancements in both data analytics and XR technologies to enhance environmental sustainability efforts.