A visualization method for geographic conceptual modelling

Chen, Min; Hong, Tao; Lin, Hui; Wen, Yongning

doi:10.1080/19475683.2011.558024

Cited by 16 publications

(10 citation statements)

References 21 publications

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“…In response to this situation, Gallardo et al (2012) proposed a model-driven method that consists of a methodological, conceptual, and technological framework to construct a domainindependent collaborative modeling environment. With guidance from extensive frameworks of collaborative modeling, critical technologies are developed concerning information access and communication in the stages of modeling, i.e., selection, editing models, modeling and validation (Chen et al, 2011;Niswonger et al, 2014;Recker et al, 2013;Xu et al, 2011) for a group of users instead of single-user oriented models (Recker et al, 2013;Xu et al, 2011). However, conflict in modeling collaboration occurs in each stage.…”

Section: Collaborative Modelingmentioning

confidence: 99%

“…For example, the development of urbanization may affect river resources, air quality, landscape patterns, and populations (Chin, 2006;Wu et al, 2015). Thus, a comprehensive analysis of a geographic system, such as a catchment (Argent et al, 1999), can be conducted by integrating multidisciplinary models in a visual and formalized mode in VGEs (Haddad and Moulin, 2010;Chen et al, 2011). Concerning these interactions, the development of an integrative view of the entire urban socialecological landscape system was proposed as an important strategy to support practical management (Borgstrom et al, 2006).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

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What's going on about geo-process modeling in virtual geographic environments (VGEs)

Zhang

Chen

et al. 2016

Ecological Modelling

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Section: Collaborative Modelingmentioning

confidence: 99%

Section: Theoretical Frameworkmentioning

confidence: 99%

What's going on about geo-process modeling in virtual geographic environments (VGEs)

Zhang

Chen

et al. 2016

Ecological Modelling

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“…The Open Geographic Modeling and Simulation System (OpenGMS) team has constructed the OpenGMS platform (http://geomodeling.njnu.edu.cn/) to enable the development of solutions for complex geographic problems (Chen, Sheng, Wen, & Su, ; Chen, Sheng, Wen, Tao, & Guo, ; Chen et al, , , ; Lü et al, ; Wen et al, , ; Yue et al, ; S. Yue et al, ). The OpenGMS platform has drafted several standards and specifications (i.e., model‐related metadata and classification) for geo‐analysis model descriptions and aims to make good use of geo‐analysis models, data resources and computing resources that are distributed over the web.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Study on Data Processing Services for the Operation of Geo‐Analysis Models in the Open Web Environment

Wang

Chen

et al. 2018

Earth and Space Science

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With the development of network technology, integrated modeling frameworks based on web services are becoming a key topic with regard to solving complex geographic problems. Currently, large numbers of geo‐analysis models and massive data resources are available on the open web. Accessing, acquiring or invoking individual resources transparently is relatively straightforward; but combining these models and data resources for comprehensive simulations remains challenging due to their heterogeneity and diversity. Data resources are the driving force of model execution and can serve as an intermediate linkage medium for model integration, yet in most cases, the data resources cannot be directly used to drive or link models. Data processing services that can prepare and process data are urgently needed in the web environment to enable the convenient coupling of models and data resources through the web, thus reducing the difficulty of preparing data and avoiding repetitive data processing work. Three types of data processing methods that can achieve mapping, refactoring, and visualization are designed in this article based on the proposed Universal Data eXchange (UDX) model. These methods can be published as data processing services to facilitate the operation of geo‐analysis models through the web environment. The applicability of the proposed data processing services is examined through two cases: the processing service is applied in model integration through the web in the first case, and data preparation with processing services for the Taihu Water Pollution Diffusion Model (TWPDM) is carried out in the second case. The results demonstrate that the proposed processing services can bridge the gap between geo‐analysis models and data resources hosted on networks.

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“…To solve this problem, a flexible data description and exchange schema would greatly contribute to the description ability for heterogeneous models (Chen et al 2011). The target of designing such a schema is not to provide a fixed description about the model data requirement or to focus on building a unified library for model contents (e.g.…”

Section: Data Description Strategymentioning

confidence: 99%

Prototyping an open environment for sharing geographical analysis models on cloud computing platform

Wen

Chen

et al. 2012

International Journal of Digital Earth

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The sharing of geographical analysis models is of crucial importance for simulating geographic processes and phenomena in the current geographical information systems (e.g. Digital Earth), but there remain some issues that have not been completely resolved. The challenges include, eliminating model heterogeneity and searching for suitable infrastructures to support the open sharing and effective execution of models. Taking advantage of cloud computing, this article aims to address the above issues and develop an open environment for geographical analysis model sharing. On the basis of the analysis of the applicability of cloud computing, the architecture of the open environment is proposed. More importantly, key strategies designed for heterogeneous model description, model encapsulating as well as model deploying and transparent accessing in the cloud are discussed in detail to establish such an environment. Finally, the prototype environment is implemented, and experiments were conducted to verify the environment's feasibility to support the sharing of geographical analysis models.

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A visualization method for geographic conceptual modelling

Cited by 16 publications

References 21 publications

What's going on about geo-process modeling in virtual geographic environments (VGEs)

What's going on about geo-process modeling in virtual geographic environments (VGEs)

A Study on Data Processing Services for the Operation of Geo‐Analysis Models in the Open Web Environment

Prototyping an open environment for sharing geographical analysis models on cloud computing platform

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