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.

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.

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.

DEVELOPMENT OF ALGORITHM PROCEDURE OF STRATEGY DECISION-MAKING IN A CEMENT INDUSTRY ENTERPRISES

2019 ◽  
Vol 6 (4) ◽  
pp. 60-65
Author(s):  
Elena Vyacheslavovna Zaytseva
Keyword(s):  
Decision Making ◽  
Integrated Assessment ◽  
Information Technologies ◽  
Practical Implication ◽  
Cement Industry ◽  
Survey Method ◽  
Innovative Strategy ◽  
Technological Readiness ◽  
Geological Conditions ◽  
Methodological Principles

The problem statement (relevance). The article illustrates the outcome of analytical research in the area of substantiation of organizational and managerial structures of cement companies on the basis of conducting an integral estimation of complex conditions of operation (manufacturability of mining and geological conditions of cement production, level of production and technical conditions and social conditions) and outputs (production and technical level and financial level). Integrated assessment is provided by the appropriate methodology, the purpose of which supports an increase in the objectivity, reliability and reliability of decisions in the development of technological systems of cement enterprises.Purpose: development of an enlarged flowchart of the decision-making procedure algorithm for development strategies for cement enterprises. Methods used: the work used the method of “vector norm”, based on the methodological principles of the theory of complex decision making, utility theory, game theory, qualimetry, expert survey method and other generally accepted methods and principles.Novelty. The elements of novelty include an improved method of integrated assessment of the technological structure of cement enterprises in the conditions of external and internal environments of operation.Result. The article presents an iterative algorithm and decision-making procedure for structurally selected groups of cement enterprises with the choice of a specific form of their development. The results of the work made it possible to form the key areas of training and a list of information technologies that ensure technological readiness for the implementation of the directions of digitalization in relation to cement enterprises.Practical significance: the organizational and management apparatus with the appropriate mathematical reinforcement for the selection and justification of strategies for the development of cement enterprises. The practical implication of the outcome of the study due to the possibility to increase the effectiveness of organizational-technological and managerial solutions based on the developed methodology, technique and algorithm of formation of innovative strategy of development of the mining enterprises of the cement industry. The main provisions of the work are used in the holding “EUROCEMENT” in the development and implementation of plans for the development of industrial production in the short and long term.

EXPERT MANAGEMENT SYSTEMS OF AGROTECHNOLOGIES IN CLOUD INFORMATION TECHNOLOGY

1970 ◽  
pp. 12-17
Author(s):  
I. М. Mikhaylenko ◽  
V. N. Timoshin
Keyword(s):  
Decision Making ◽  
Pattern Recognition ◽  
Information System ◽  
Knowledge Base ◽  
Information Technologies ◽  
Agricultural Sector ◽  
Perennial Grasses ◽  
Management Decision ◽  
Agricultural Technologies ◽  
Automation Systems

The transition to "intellectual" agriculture is the main vector of modernization of the agricultural sector of the economy. It is based on integrated automation and robotization of production, the use of automated decision-making systems. This is inevitably accompanied by a significant increase in data flow from sensors, monitoring systems, meteorological stations, drones, satellites and other external systems. Farm management has the opportunity to use various online applications for accurate recommendations and making various kinds of management decisions. In this regard, the most effective use of cloud information technologies, allowing implementing the most complex information and technical level of automation systems for management of agricultural technologies. The purpose of this work is to test the approach to creating expert management decision support systems (DSS) through the knowledge base (KB), formed in the cloud information system. For this, we consider an example of constructing a DSS for choosing the optimal date for preparing forage from perennial grasses. A complete theoretical and algorithmic database of the analytical DSS implemented in the data processing center of the cloud information system is given. On its basis, a KB is formed for a variety of different decision-making conditions. This knowledge base is transmitted to the local DSS. To make decisions about the optimal dates for the preparation of the local DSS, two variants of algorithms are used. The first option is based on management models, and the second uses the pattern recognition method. The approbation of the algorithms was carried out according to the BZ from 50 cases. According to the results of testing, the method of pattern recognition proved to be more accurate, which provides a more flexible adjustment of the situation on the local DSS to a similar situation in the KB. The considered technique can be extended to other crops.

Confidence Enhances the Decodability of Predictions in Parietal Cortex During Spatial Decision-Making

2020 ◽  
Author(s):  
Risa Katayama ◽  
Wako Yoshida ◽  
Shin Ishii
Keyword(s):  
Decision Making ◽  
Parietal Cortex ◽  
Spatial Decision Making

Spatially Enabled Pipeline Route Optimization Model

2004 ◽  
Author(s):  
S. Raza Wasi ◽  
J. Darren Bender
Keyword(s):  
Decision Making ◽  
Optimization Problem ◽  
Environmental Design ◽  
Route Optimization ◽  
Design Criteria ◽  
Least Cost Path ◽  
Ahp Model ◽  
Spatial Decision Making ◽  
Pipeline Route ◽  
Analytical Tools

An interesting, potentially useful, and fully replicable application of a spatially enabled decision model is presented for pipeline route optimization. This paper models the pipeline route optimization problem as a function of engineering and environmental design criteria. The engineering requirements mostly deal with capital, operational and maintenance costs, whereas environmental considerations ensure preservation of nature, natural resources and social integration. Typically, pipelines are routed in straight lines, to the extent possible, to minimize the capital construction costs. In contrast, longer pipelines and relatively higher costs may occur when environmental and social considerations are part of the design criteria. Similarly, much longer pipelines are less attractive in terms of capital costs and the environmental hazard associated with longer construction area. The pipeline route optimization problem is potentially a complex decision that is most often undertaken in an unstructured, qualitative fashion based on human experience and judgement. However, quantitative methods such as spatial analytical techniques, particularly the least-cost path algorithms, have greatly facilitated automation of the pipeline routing process. In the past several interesting studies have been conducted using quantitative spatial analytical tools for finding the best pipeline route or using non-spatial decision making tools to evaluate several alternates derived through conventional route reconnaissance methods. Most of these studies (that the authors are familiar with) have concentrated on integrating multiple sources of spatial data and performing quantitative least-cost path analysis or have attempted to make use of non-spatial decision making tools to select the best route. In this paper, the authors present a new framework that incorporates quantitative spatial analytical tools with an Analytical Hierarchical Process (AHP) model to provide a loosely integrated but efficient spatial Decision Support System (DSS). Specifically, the goal is to introduce a fully replicable spatial DSS that processes both quantitative and qualitative information, balances between lowest-cost and lowest-impact routes. The model presented in this paper is implemented in a four step process: first, integration of multiple source data that provide basis for engineering and environmental design criteria; second, creation of several alternate routes; third, building a comprehensive decision matrix using spatial analysis techniques; and fourth, testing the alternative and opinions of the stakeholder groups on imperatives of AHP model to simplify the route optimization decision. The final output of the model is then used to carry out sensitivity analysis, quantify the risk, generate “several what and if scenarios” and test stability of the route optimization decision.

scholarly journals Coupling Fuzzy Multi-Criteria Decision-Making and Clustering Algorithm for MSW Landfill Site Selection (Case Study: Lanzhou, China)

2021 ◽  
Vol 10 (6) ◽  
pp. 403
Author(s):  
Jiamin Liu ◽  
Yueshi Li ◽  
Bin Xiao ◽  
Jizong Jiao
Keyword(s):  
Decision Making ◽  
Clustering Algorithm ◽  
Fuzzy Membership Function ◽  
Multi Criteria Decision Making ◽  
Landfill Site Selection ◽  
Spatial Distribution Characteristics ◽  
Criteria Weights ◽  
Spatial Decision Making ◽  
Complex Decision

The siting of Municipal Solid Waste (MSW) landfills is a complex decision process. Existing siting methods utilize expert scores to determine criteria weights, however, they ignore the uncertainty of data and criterion weights and the efficacy of results. In this study, a coupled fuzzy Multi-Criteria Decision-Making (MCDM) approach was employed to site landfills in Lanzhou, a semi-arid valley basin city in China, to enhance the spatial decision-making process. Primarily, 21 criteria were identified in five groups through the Delphi method at 30 m resolution, then criteria weights were obtained by DEMATEL and ANP, and the optimal fuzzy membership function was determined for each evaluation criterion. Combined with GIS spatial analysis and the clustering algorithm, candidate sites that satisfied the landfill conditions were identified, and the spatial distribution characteristics were analyzed. These sites were subsequently ranked utilizing the MOORA, WASPAS, COPRAS, and TOPSIS methods to verify the reliability of the results by conducting sensitivity analysis. This study is different from the previous research that applied the MCDM approach in that fuzzy MCDM for weighting criteria is more reliable compared to the other common methods.

scholarly journals Mechanosensation Mediates Long‐Range Spatial Decision‐Making in an Aneural Organism

2021 ◽  
pp. 2008161
Author(s):  
Nirosha J. Murugan ◽  
Daniel H. Kaltman ◽  
Paul H. Jin ◽  
Melanie Chien ◽  
Ramses Martinez ◽  
...  
Keyword(s):  
Decision Making ◽  
Long Range ◽  
Spatial Decision Making

The cartographic ambiguities of HarassMap: Crowdmapping security and sexual violence in Egypt

2015 ◽  
Vol 46 (4) ◽  
pp. 345-364 ◽  
Author(s):  
Nicole Sunday Grove
Keyword(s):  
Sexual Harassment ◽  
Public Space ◽  
Information Technologies ◽  
Open Space ◽  
Spatial Information ◽  
Urban Landscape ◽  
State Violence ◽  
Security Governance ◽  
Crowdsourced Data ◽  
Control State

In December 2010, HarassMap was launched as a Cairo-based interactive online mapping interface for reporting and mapping incidents of sexual harassment anonymously and in real time, in Egypt. The project’s use of spatial information technologies for crowdmapping sexual harassment raises important questions about the use of crowdsourced mapping as a technique of global human security governance, as well as the techno-politics of interpreting and representing spaces of gendered security and insecurity in Egypt’s urban streetscape. By recoding Egypt’s urban landscape into spaces subordinated to the visual cartography of the project’s crowdsourced data, HarassMap obscures the complex assemblage that it draws together as the differentially open space of the Egyptian street – spaces that are territorialized and deterritorialized for authoritarian control, state violence, revolt, rape, new solidarities, gender reversals, sectarian tensions, and class-based mobilization. What is at stake in my analysis is the plasticity of victimage: to what extent can attempts to ‘empower’ women be pursued at the microlevel without amplifying the similarly imperial techniques of objectifying them as resources used to justify other forms of state violence? The question requires taking seriously the practices of mapping and targeting as an interface for securing public space.

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