Urban Augmented Reality for 3D Geosimulation and Prospective Analysis

Abstract

The advent of augmented reality (AR) has introduced a new era of real-time geosimulation and analysis, particularly in urban planning, spatial design, and architecture. In this chapter, we propose a framework for using urban augmented reality model (UARM) to implement 3D geosimulation and prospective analysis of urban built environments. Our framework leverages advanced technologies, such as computer vision, 3D modeling, and machine learning, to provide a realistic and interactive representation of urban built environments. Using UARM, stakeholders can visualize and analyze the impact of proposed changes to the built environment in real-time. This paper presents the technical specifications and implementation details of our proposed framework and provides case studies demonstrating its effectiveness in urban planning and design. This paper will serve as a guideline for future research in implementation tools for virtual geographic environments (VGE).