Aug 2026· The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences· 0 citations· 4 references
TL;DR
A quality evaluation model and method tailored for WMS, encompassing four critical dimensions: query and retrieval, map display, thematic services, and productization services, is proposed, demonstrating the model’s efficacy in quantifying service quality, aligning closely with real-world user experiences.
Abstract
Abstract. The integration of internet technologies and geographic information systems (GIS) has positioned Web Map Services(WMS) as indispensable tools for daily life, with their service quality attracting significant attention. This study proposes a quality evaluation model and method tailored for WMS, encompassing four critical dimensions: query and retrieval, map display, thematic services, and productization services. Empirical validation was conducted through functional, performance, and productization evaluations of three leading domestic platforms, utilizing technical benchmarks and user-centric metrics. Results demonstrate the model’s efficacy in quantifying service quality, aligning closely with real-world user experiences. The framework provides actionable guidelines for regulatory bodies to monitor service compliance and for providers to optimize architectural designs, thereby addressing gaps in personalization and cross-border functionalities observed in current systems. Furthermore, this work highlights the necessity of integrating emerging technologies—such as real-time traffic data and AI-driven personalization—to meet evolving demands for energy efficiency, global connectivity, and hyper-localized services. By bridging technical assessments with practical governance needs, the study offers a strategic roadmap for advancing service quality, supporting the development of China’s digital economy, and enhancing societal well-being through reliable geospatial solutions.
The increasing demand for data-driven governance in higher education requires institutions to develop effective systems for managing, analyzing, and presenting academic information to support strategic decision-making. Conventional manual data management processes often create challenges related to data accuracy, acces...
Muhammad Bintang Azizie· Jurnal Indonesia Sosial Sain...· 0 citations
This study introduces an intelligent framework based on standardized metadata design, formalized knowledge from data producers, and automated awareness mechanisms embedded within software systems that aims to effectively facilitate interaction between resource providers and users concerning data usability, thereby impr...
Jung-Hong Hong, How-Han Chang, Ting-Yi Lee et al.· The International Archives o...· 0 citations
This work presents the first characterization study of open-source satellite software, examining its ecosystem and development practices, revealing a highly heterogeneous and task-specialized ecosystem with 66 programming languages and diverse implementation strategies.
Jin-Feng Wen, Qi Liang, Yuehan Sun et al.· 0 citations
The contribution of this paper lies in the development of an integrated PSS analytical framework for on-site digital human guide systems, spanning product, service, and AI integration layers, while offering structured guidance for configuration and service selection, system design, and continuous optimization across di...
Zhen Liu, Tianrui Zhu, Fenghong Wang et al.· Systems· 0 citations
It is argued that future progress depends less on incremental accuracy gains than on reproducible multi-source workflows, explicit uncertainty, trustworthy and explainable geospatial artificial intelligence, privacy-preserving governance, interoperable standards and evaluation in the institutions that ultimately use th...
Yashvardhan Singh, Divya Singh, Sakshi Shukla et al.· Advances in Research· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.