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Flat voxel-based modelling, assessment and visualization of urban underground space resource quality
International Journal of Applied Earth Observation and Geoinformation ( IF 7.5 ) Pub Date : 2022-08-23 , DOI: 10.1016/j.jag.2022.102984
Dixu Liu, Boqi Peng, Lixin Wu, Rui Wang, Yang Yang, Busheng Xie

The voxel-based data processing, spatial modeling and 3D visualization of urban geo-environment has played a crucial role in urban underground space resources (UUSR) management and quality assessment, which is a fundamental work of urban geo-informatics to support future city construction and integral urban planning. In this paper, the voxel-based geo-environmental data processing which consists of geographic coordinate conversion, flat voxel generation, spatial interpolation of attribute values, and the assessment and visualization of UUSR quality are presented supported with 3D-Mine and ArcGIS. Furthermore, the basic methodologies of UUSR quality assessment including the grey relational analysis method, the entropy weight method, and the interval continuous mathematical model are introduced and programed within MATLAB. Taking a particular area in Jiangbei New District of Nanjing, China as a case study, we demonstrate the data processing, spatial modelling, mathematic computation and synergic visualization of UUSR quality with flat voxels of size 30 × 30 × 1 m3. The assessment results exhibit an overall polarized distribution of obvious zoning characteristics of USSR quality in the study area, whose values are mainly fall into [0.22, 0.48] and [0.55, 0.80]. This research demonstrates a new application of flexible voxel in urban informatics.



中文翻译:

基于平面体素的城市地下空间资源质量建模、评估与可视化

基于体素的城市地理环境数据处理、空间建模和3D可视化在城市地下空间资源(UUSR)管理和质量评估中发挥着至关重要的作用,是城市地理信息学支持未来城市建设的基础工作和整体城市规划。本文提出了基于体素的地理环境数据处理,包括地理坐标转换、平面体素生成、属性值的空间插值以及UUSR质量的评估和可视化,并支持3D-Mine和ArcGIS。此外,还介绍了UUSR质量评估的基本方法,包括灰色关联分析法、熵权法和区间连续数学模型,并在MATLAB中进行了编程。3 . 评价结果呈现出研究区苏联质量明显分区特征的总体两极分化分布,其值主要落在[0.22, 0.48]和[0.55, 0.80]之间。这项研究展示了灵活体素在城市信息学中的新应用。

更新日期:2022-08-23
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