This chapter explores the integration of Data Science within Extended Reality (XR) technologies—comprising Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR)—to enhance environmental impact assessment. As the demand for effective environmental management rises, this fusion provides innovative solutions for evaluating and mitigating environmental impacts. The chapter examines how XR can visualize and interact with environmental data, utilizing various data science methodologies such as statistical analysis, machine learning, and spatial analytics. Key applications include immersive data visualization, real-time monitoring, and scenario simulation, supported by case studies demonstrating successful implementations in environmental projects. Additionally, challenges related to data accuracy, scalability, and user interface design are discussed. The chapter concludes with recommendations for future research, highlighting the need to advance data science methods and XR technologies to improve environmental assessments and promote sustainable practices.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Data Science for Environmental Impact Assessment Using XR

  • Sandip J. Gami

摘要

This chapter explores the integration of Data Science within Extended Reality (XR) technologies—comprising Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR)—to enhance environmental impact assessment. As the demand for effective environmental management rises, this fusion provides innovative solutions for evaluating and mitigating environmental impacts. The chapter examines how XR can visualize and interact with environmental data, utilizing various data science methodologies such as statistical analysis, machine learning, and spatial analytics. Key applications include immersive data visualization, real-time monitoring, and scenario simulation, supported by case studies demonstrating successful implementations in environmental projects. Additionally, challenges related to data accuracy, scalability, and user interface design are discussed. The chapter concludes with recommendations for future research, highlighting the need to advance data science methods and XR technologies to improve environmental assessments and promote sustainable practices.