scholarly journals Argumentation Mapping in Collaborative Spatial Decision Making

2021 ◽  
Author(s):  
Claus Rinner
Keyword(s):  
Decision Making ◽  
Spatial Information ◽  
Collaborative Work ◽  
Spatial Decision Support ◽  
Application Development ◽  
Geographic Visualization ◽  
Current State ◽  
Visual Access ◽  
Spatial Decision Making ◽  
Collaborative Gis

Collaboration and decision-making of humans usually entails logical reasoning that is expressed through discussions and individual arguments. Where collaborative work uses geo-spatial information and where decision-making has a spatial connotation, argumentation will include geographical references. Argumentation maps have been developed to support geographically referenced discussions and provide a visual access to debates in domains such as urban planning. The concept of argumentation maps provides for explicit links between arguments and the geographic objects they refer to. These geo-argumentative relations do not only allow for cartographic representation of arguments, but also support the querying of both, space and discussion. Combinations of spatial queries and retrieval of linked arguments provide a powerful way of analyzing and summarizing the current state of a debate. In this chapter, we provide an overview of the original argumentation model and we discuss related research and application development. We also link argumentation mapping to related concepts in geographic visualization, spatial decision support systems, and public participation GIS under the umbrella of collaborative GIS.

Argumentation Mapping in Collaborative Spatial Decision Making

2011 ◽  
pp. 85-102 ◽  
Author(s):  
Claus Rinner
Keyword(s):  
Decision Making ◽  
Collaborative Work ◽  
Spatial Decision Support ◽  
Application Development ◽  
Geospatial Information ◽  
Geographic Visualization ◽  
Current State ◽  
Visual Access ◽  
Spatial Decision Making ◽  
Collaborative Gis

Collaboration and decision-making of humans usually entails logical reasoning that is expressed through discussions and individual arguments. Where collaborative work uses geospatial information and where decision-making has a spatial connotation, argumentation will include geographical references. Argumentation maps have been developed to support geographically referenced discussions, and provide a visual access to debates in domains such as urban planning. The concept of argumentation maps provides for explicit links between arguments and the geographic objects they refer to. These geo-argumentative relations do not only allow for cartographic representation of arguments, but also support the querying of both space and discussion. Combinations of spatial queries and retrieval of linked arguments provide a powerful way of analyzing and summarizing the current state of a debate. In this chapter, we provide an overview of the original argumentation model, and we discuss related research and application development. We also link argumentation mapping to related concepts in geographic visualization, spatial decision support systems, and public participation GIS under the umbrella of collaborative GIS.

scholarly journals Collaborative spatial decision making in environmental restoration management: an experimental approach

2000 ◽  
Vol 2 (3) ◽  
pp. 197-206 ◽  
Author(s):  
Piotr Jankowski
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Spatial Data ◽  
Habitat Restoration ◽  
Spatial Information ◽  
Environmental Restoration ◽  
Spatial Decision Support ◽  
Restoration Management ◽  
Spatial Decision Making ◽  
Analytical Tools

This paper presents the results of an experimental study about the use of collaborative spatial decision support tools to aid environmental restoration management and decision making. Similar, but non-geographic tools were developed and successfully applied in the 1990s for the computerised support of group decision making aimed at solving business problems. Yet, there are significant differences between business applications and spatial applications including environmental management. These differences motivated the study of habitat restoration reported in this paper. The results demonstrate that maps—the most common representation structures of spatial data in geographic information systems—play only a limited support role. Development of new ways to visualise spatial information and novel integrations of maps with analytical tools including multiple criteria decision models may help develop more effective collaborative spatial decision support systems.

Flexible Spatial Decision-Making and Support

2011 ◽  
pp. 614-636
Author(s):  
Shan Gao ◽  
David Sundaram
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Spatial Decision Support ◽  
Spatial Decision Support Systems ◽  
Location Allocation ◽  
Information Tools ◽  
Spatial Decision Making ◽  
Spatio Temporal

Spatial decision-making is a key aspect of human behaviour. Spatial decision support systems support spatial decision-making processes by integrating required information, tools, models and technology in a user-friendly manner. While current spatial decision support systems fulfil their specific objectives, they fail to address many of the requirements for effective spatial problem solving, as they are inflexible, complex to use and often domain-specific. This research blends together several relevant disciplines to overcome the problems identified in various areas of spatial decision support. We proposed a generic spatial decision-making process and a domain-independent spatial decision support system (SDSS) framework and architecture to support the process. We also developed a flexible SDSS to demonstrate an environment in which decision makers can utilize various tools and explore different scenarios to derive a decision. The use of the system is demonstrated in a number of real scenarios across location, allocation, routing, layout, and spatio-temporal problems.

Flexible Spatial Decision-Making and Support

2010 ◽  
pp. 532-555
Author(s):  
Shan Gao ◽  
David Sundaram
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Spatial Decision Support ◽  
Spatial Decision Support Systems ◽  
Location Allocation ◽  
Information Tools ◽  
Spatial Decision Making ◽  
Spatio Temporal

Spatial decision-making is a key aspect of human behaviour. Spatial decision support systems support spatial decision-making processes by integrating required information, tools, models and technology in a user-friendly manner. While current spatial decision support systems fulfil their specific objectives, they fail to address many of the requirements for effective spatial problem solving, as they are inflexible, complex to use and often domain-specific. This research blends together several relevant disciplines to overcome the problems identified in various areas of spatial decision support. We proposed a generic spatial decision-making process and a domain-independent spatial decision support system (SDSS) framework and architecture to support the process. We also developed a flexible SDSS to demonstrate an environment in which decision makers can utilize various tools and explore different scenarios to derive a decision. The use of the system is demonstrated in a number of real scenarios across location, allocation, routing, layout, and spatio-temporal problems.

Flexible Spatial Decision-Making and Support

2011 ◽  
pp. 153-183 ◽  
Author(s):  
Shan Gao ◽  
David Sundaram
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Spatial Decision Support ◽  
Spatial Decision Support Systems ◽  
Location Allocation ◽  
Information Tools ◽  
Spatial Decision Making ◽  
Spatio Temporal

Spatial decision-making is a key aspect of human behaviour. Spatial decision support systems support spatial decision-making processes by integrating required information, tools, models and technology in a user-friendly manner. While current spatial decision support systems fulfil their specific objectives, they fail to address many of the requirements for effective spatial problem solving, as they are inflexible, complex to use and often domain-specific. This research blends together several relevant disciplines to overcome the problems identified in various areas of spatial decision support. We proposed a generic spatial decision-making process and a domain-independent spatial decision support system (SDSS) framework and architecture to support the process. We also developed a flexible SDSS to demonstrate an environment in which decision makers can utilize various tools and explore different scenarios to derive a decision. The use of the system is demonstrated in a number of real scenarios across location, allocation, routing, layout, and spatio-temporal problems.

scholarly journals A new combination rule for Spatial Decision Support Systems for epidemiology

2019 ◽  
Vol 18 (1) ◽  
Author(s):  
Luciana Moura Mendes de Lima ◽  
Laísa Ribeiro de Sá ◽  
Ana Flávia Uzeda dos Santos Macambira ◽  
Jordana de Almeida Nogueira ◽  
Rodrigo Pinheiro de Toledo Vianna ◽  
...  
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Spatial Information ◽  
Support Systems ◽  
Final Decision ◽  
Spatial Decision Support ◽  
Spatial Decision Support Systems ◽  
New Approach ◽  
Priority Levels

Abstract Background Decision making in the health area usually involves several factors, options and data. In addition, it should take into account technological, social and spatial aspects, among others. Decision making methodologies need to address this set of information , and there is a small group of them with focus on epidemiological purposes, in particular Spatial Decision Support Systems (SDSS). Methods Makes uses a Multiple Criteria Decision Making (MCDM) method as a combining rule of results from a set of SDSS, where each one of them analyzes specific aspects of a complex problem. Specifically, each geo-object of the geographic region is processed, according to its own spatial information, by an SDSS using spatial and non-spatial data, inferential statistics and spatial and spatio-temporal analysis, which are then grouped together by a fuzzy rule-based system that will produce a georeferenced map. This means that, each SDSS provides an initial evaluation for each variable of the problem. The results are combined by the weighted linear combination (WLC) as a criterion in a MCDM problem, producing a final decision map about the priority levels for fight against a disease. In fact, the WLC works as a combining rule for those initial evaluations in a weighted manner, more than a MCDM, i.e., it combines those initial evaluations in order to build the final decision map. Results An example of using this new approach with real epidemiological data of tuberculosis in a Brazilian municipality is provided. As a result, the new approach provides a final map with four priority levels: “non-priority”, “non-priority tendency”, “priority tendency” and “priority”, for the fight against diseases. Conclusion The new approach may help public managers in the planning and direction of health actions, in the reorganization of public services, especially with regard to their levels of priorities.

scholarly journals A Geographic Visualization Approach to Multi-Criteria Evaluation of Urban Quality of Life

2021 ◽  
Author(s):  
Claus Rinner
Keyword(s):  
Quality Of Life ◽  
Decision Making ◽  
Analytic Hierarchy ◽  
Geographic Visualization ◽  
Urban Quality Of Life ◽  
Multi Criteria Evaluation ◽  
Spatial Decision Making ◽  
Urban Quality ◽  
Analytical Tools

This paper proposes to use principles of geographic visualization in conjunction with multi‐criteria evaluation methods to support expert‐level spatial decision‐making. Interactive maps can be combined with analytical tools to explore various settings of multi‐criteria evaluation parameters that define different decision‐making strategies. In a case study, the analytic hierarchy process (AHP) is used to calculate composite measures of urban quality of life (QoL) for neighbourhoods in Toronto. The AHP allows for an interactive exploration of decision‐making strategies, while offering a view on spatial patterns in the evaluation results. In particular, an interactive blending between a classical and a contemporary QoL model is supported. This feature is used in a pilot study to assess the usefulness of geographic visualization in urban QoL evaluation. Three user interviews provide positive feedback on the utility and usability of the tool that was operated by the investigator.

scholarly journals A Geographic Visualization Approach to Multi-Criteria Evaluation of Urban Quality of Life

2021 ◽  
Author(s):  
Claus Rinner
Keyword(s):  
Quality Of Life ◽  
Decision Making ◽  
Analytic Hierarchy ◽  
Geographic Visualization ◽  
Urban Quality Of Life ◽  
Multi Criteria Evaluation ◽  
Spatial Decision Making ◽  
Urban Quality ◽  
Analytical Tools

This paper proposes to use principles of geographic visualization in conjunction with multi‐criteria evaluation methods to support expert‐level spatial decision‐making. Interactive maps can be combined with analytical tools to explore various settings of multi‐criteria evaluation parameters that define different decision‐making strategies. In a case study, the analytic hierarchy process (AHP) is used to calculate composite measures of urban quality of life (QoL) for neighbourhoods in Toronto. The AHP allows for an interactive exploration of decision‐making strategies, while offering a view on spatial patterns in the evaluation results. In particular, an interactive blending between a classical and a contemporary QoL model is supported. This feature is used in a pilot study to assess the usefulness of geographic visualization in urban QoL evaluation. Three user interviews provide positive feedback on the utility and usability of the tool that was operated by the investigator.

Development of an Internet-Based Synchronous GIS for Collaborative Spatial Decision Making

2021 ◽  
Author(s):  
Lijun Gu
Keyword(s):  
Decision Making ◽  
Information Technologies ◽  
Spatial Information ◽  
Research Effort ◽  
General Interest ◽  
Development Scenarios ◽  
Spatial Decision Making ◽  
Map Objects ◽  
Transportation Development ◽  
Gis Software

Urban and transportation development largely depends on innovative information technologies for decision making support in its planning and management processes to achieve beneficial economic, social and environmental outcomes. Among these technologies, techniques and tools for collaborative visualization, manipulation, and exploration of spatial information are particularly useful. Existing Geographic Information Systems (GISs), however, lack of the capability to support collaborative spatial decision making (CSDM). This thesis presents a research effort in the development of GIS software tools that support synchronized collaborations between multiple participants via the Internet, to explore urban and transportation development scenarios for collective decision making. While the design and development focused on integrating decision making tools with commercial GIS development Toolkits (e.g., Map Objects Java Edition) using collaborative Java APIs, the approach and insights gained should be of general interest. The initial usefulness testing indicates that an Internet-based synchronous GIS can help improve decision making processes of urban corridor planning and ease participation in such decision making activities.

scholarly journals Development of an Internet-Based Synchronous GIS for Collaborative Spatial Decision Making

2021 ◽  
Author(s):  
Lijun Gu
Keyword(s):  
Decision Making ◽  
Information Technologies ◽  
Spatial Information ◽  
Research Effort ◽  
General Interest ◽  
Development Scenarios ◽  
Spatial Decision Making ◽  
Map Objects ◽  
Transportation Development ◽  
Gis Software

Urban and transportation development largely depends on innovative information technologies for decision making support in its planning and management processes to achieve beneficial economic, social and environmental outcomes. Among these technologies, techniques and tools for collaborative visualization, manipulation, and exploration of spatial information are particularly useful. Existing Geographic Information Systems (GISs), however, lack of the capability to support collaborative spatial decision making (CSDM). This thesis presents a research effort in the development of GIS software tools that support synchronized collaborations between multiple participants via the Internet, to explore urban and transportation development scenarios for collective decision making. While the design and development focused on integrating decision making tools with commercial GIS development Toolkits (e.g., Map Objects Java Edition) using collaborative Java APIs, the approach and insights gained should be of general interest. The initial usefulness testing indicates that an Internet-based synchronous GIS can help improve decision making processes of urban corridor planning and ease participation in such decision making activities.

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