A loosely integrated data configuration strategy for web-based participatory modeling. Issue 5 (4th July 2019)

• Record Type: Journal Article
• Authors: Yue, Songshan; Chen, Min; Yang, Chaowei; Shen, Chaoran; Zhang, Bowen; Wen, Yongning; Lü, Guonian
• Is Part Of: GIScience & remote sensing. Volume 56:Issue 5(2019)
• Page Start: 670
• Page End: 698
• Publication Date: 2019-07-04
• Subjects: data configuration -- participatory modeling -- model service -- data service -- web environment; Geodesy -- Periodicals; Cartography -- Periodicals; Aerial photogrammetry -- Periodicals; Remote sensing -- Periodicals; 526.05
• DOI: 10.1080/15481603.2018.1549820
• Languages: English
• ISSNs: 1548-1603

Abstract

Abstract : Participatory modeling is an important approach for solving complex geo-problems from a comprehensive and holistic viewpoint, and it brings together stakeholders from multiple disciplines to provide diverse resources, including modeling, data fields and computational assets. Data configuration work (e.g., preparing appropriate input data for model execution, connecting a model's output to the input data of another model) is important for constructing and executing a participatory modeling task. Most current data configuration methods depend on the model integration logic, which presents a challenge when adding new modeling resources into a model to dynamically create and execute new modeling tasks. To support the construction of participatory modeling tasks in a web environment, this article proposes a loosely integrated data configuration strategy for decoupling data configuration work from the execution process of a participatory modeling task. A model service controller is designed for model input/output (I/O) configuration, and a data service controller is designed for data access configuration. These two controllers can help modelers link the data I/O demands of a model-service with the appropriate data-services; thus, different modeling instances can be dynamically joined to a participatory modeling task and executed without reconstructing the original data configuration settings. A prototype participatory modeling system is proposed to demonstrate the flexibility and feasibility of the proposed method using an experimental modeling case. The results show that the proposed data configuration strategy supports the integration of different model-services based on the data dependency relationships and that the complexity and difficulty in configuring data for a participatory modeling tasks in the web environment are minimized.