Elaborating and performing optimization approaches for web-based 3D spatial analysis of 3D city models

ABSTRACT

Three-dimensional (3D) geographic information systems (GIS) are vital for urban planning and architectural design, enabling detailed visualization and analysis of urban landscapes. However, the growing size of 3D city data and the transition to web environments cause performance challenges for real-time applications. This study addresses the need for optimizing 3D spatial analyses for the web using Quadtree data structures and multiprocessing tools. Optimization scenarios based on data size and hardware configurations are evaluated, and the best hosting plans for GIS applications on cloud services are also considered.

KEYWORDS:

• 3D city models
• 3D boolean operations
• web GIS
• computational geometry

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The test data which is used in the study is shared at https://mega.nz/folder/Xx9nBZQC#rZxk4ZWrU_VQTNmAXLvN-w.

Ethics approval statement

There is no need to obtain ethical approval for this study.

Supplemental material

Supplemental data for this article can be accessed online at https://doi.org/10.1080/14498596.2024.2377564