journal article·2025-12-12Open access

WH-MSDM: A W-Hilbert Curve-Based Multiscale Data Model for Spatial Indexing and Management of 3D Geological Blocks in Digital Earth Applications

Genshen Chen, Gang Liu, Jiongqi Wu, Yang Dong, Zhiting Zhang, Xiangwu Zeng, Junping Xiong

Applied Sciences· Volume 15· Issue 24

Abstract

Multiscale 3D geological characterization and joint analysis are increasingly important topics in spatial information science. However, the non-uniform spatial distribution of objects and scale heterogeneity in geological surveys lead to dispersed storage, long access paths, and limited query performance in managing multiscale 3D geological model data. This study presents a W-Hilbert curve-based multiscale data model (WH-MSDM) that improves data indexing and management through a unified data structure (UDS) for multi-scale blocks and a bidirectional mapping model (BMM) linking spatial coordinates to memory locations. It supports spatial, attribute, hybrid, and cross-scale queries for diverse retrieval tasks. By exploiting the space-filling properties of the W-Hilbert curve to linearize multidimensional geological data into a one-dimensional index, it preserves locality and increases query efficiency across scales. Experimental results on a real 3D geological model demonstrate that WH-MSDM outperforms three mainstream baselines in both unified data organization and diverse query workloads. It thus provides a data-model foundation for Digital Earth-oriented multiscale geological analysis.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Geological Modeling and Analysis · Data Management and Algorithms · Geographic Information Systems Studies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

National Engineering Research Center for Geographic Information System, School of Computer Science, China University of Geosciences (Wuhan), Wuhan 430074, China

Guizhou Key Laboratory for Strategic Mineral Intelligent Exploration, Guiyang 550081, China

Engineering Research Center of Natural Resource Information Management and Digital Twin Engineering Software, Ministry of Education, Wuhan 430074, China

Key Laboratory of Resource Quantitative Assessment and Geoscience Information, Ministry of Natural Resources, Wuhan 430074, China

Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518000, China

Wuhan Dida Quanty Science and Technology Co., Ltd., Wuhan 430205, China

Funding

National Natural Science Foundation of China · Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources · Guizhou Provincial Scientific and Technological Project “A Big Data-Driven Study on Ore-Forming Processes and Efficient Prospecting of Critical Strategic Mineral Resources in Western Guizhou” · Guizhou Provincial Innovation Team for Advanced Manganese Ore Exploration

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