GIS Technique for Territorial Analysis

2011 ◽  
pp. 425-445
Author(s):  
Francesco Riccioli ◽  
Toufic El Asmar
Keyword(s):  
Decision Making ◽  
Spatial Data ◽  
Human Activities ◽  
Spatial Decision Support System ◽  
Complex Data ◽  
Spatial Decision Support ◽  
Territorial Planning ◽  
Analysis Process ◽  
Gis Technique ◽  
Territorial Analysis

Territorial analysis is related to the complexity of an area where human activities and environmental characteristics are the main development factors. Human activities have a direct (e.g. farm activities) and indirect (e.g. urban development/sprawl) influence on a territory and its environment, which gives an important function to such activities when strategies for territorial planning have to be defined. Several actors are involved in the assessment of a territory, which is a complicated feature of decision making to be achieved with the use of complex data-analysis process. The evolution of personal computer and specific software for the analysis of spatial data is giving important contribution to “Territorial Planning Strategies.” Spatial Decision Support System is an example of how problems occurred during a decision making process can be solved using methodologies that combine “Multicriteria Approach” and “Geographic Information System.” One of these methodologies is represented by “Spatial Multicriteria Decision Analysis.”

GIS Technique for Territorial Analysis

2013 ◽  
pp. 228-249 ◽  
Author(s):  
Francesco Riccioli ◽  
Toufic El Asmar
Keyword(s):  
Decision Making ◽  
Spatial Data ◽  
Human Activities ◽  
Spatial Decision Support System ◽  
Complex Data ◽  
Spatial Decision Support ◽  
Territorial Planning ◽  
Analysis Process ◽  
Gis Technique ◽  
Territorial Analysis

Territorial analysis is related to the complexity of an area where human activities and environmental characteristics are the main development factors. Human activities have a direct (e.g. farm activities) and indirect (e.g. urban development/sprawl) influence on a territory and its environment, which gives an important function to such activities when strategies for territorial planning have to be defined. Several actors are involved in the assessment of a territory, which is a complicated feature of decision making to be achieved with the use of complex data-analysis process. The evolution of personal computer and specific software for the analysis of spatial data is giving important contribution to “Territorial Planning Strategies.” Spatial Decision Support System is an example of how problems occurred during a decision making process can be solved using methodologies that combine “Multicriteria Approach” and “Geographic Information System.” One of these methodologies is represented by “Spatial Multicriteria Decision Analysis.”

Integrated Spatial Planning

GEOMATICA ◽  
2011 ◽  
Vol 65 (3) ◽  
pp. 255-265
Author(s):  
Beat Huser
Keyword(s):  
Decision Making ◽  
Spatial Planning ◽  
Well Being ◽  
Spatial Decision Support System ◽  
Practical Application ◽  
Spatial Decision Support ◽  
Cultural Aspects ◽  
Development Scenarios ◽  
Trade Offs ◽  
Potential Use

More than ever our planet requires new approaches, effective policies and innovative tools to better manage and protect our natural resources and the services they provide. The challenge we face is to create a future where the economy interacts sustainably with the environment and where people's welfare and well being is considered along economic, environmental, social and cultural aspects. Today's complex and interconnected issues greatly benefit from integrating information and knowledge from different disciplines to achieve enduring outcomes. Integrated spatial planning is a concept that makes use of enhanced knowledge and vastly improved technologies to explore development scenarios in a world of finite resources and to visualise trade-offs along the way. This paper discusses three key elements of spatial planning and illustrates their practical application using examples from New Zealand. A recently developed Integrated Spatial Decision Support System (WISE) is described and its potential use for place-based planning and decision-making discussed. The paper concludes with some lessons learnt and ideas for a ‘way forward’.

scholarly journals Prototyping a GIS-Based Spatial Decision Support System in a Manufacturing Environment

2021 ◽  
Author(s):  
Xiang Qian Gao
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Spatial Decision Support System ◽  
3D Analysis ◽  
Spatial Decision Support ◽  
Manufacturing Environment ◽  
Effective Manner ◽  
Gis Software ◽  
Manufacturing Environments ◽  
Support Decision Making

Current spatial decision support systems (SDSS) in manufacturing environments, which are mostly CAD-based, have many drawbacks and thus may make less effective and efficient spatial decisions. GIS-based SDSS can overcome those drawbacks and support decision-making in a much effective manner. Unfortunately, there is little research on GIS-based SDSS in a manufacturing environment. This thesis study focuses on a systematic approach to the development of GIS-based SDSS in a manufacturing environment. By using Trane China as an example, the prototype of Trane China SDSS (TCSDSS) is developed by adopting the unified software development process. The TCSDSS prototype contains eight object modules, which incorporate ArcGIS embedded models, ArcGIS feature data, and MS Access attribute data, to support decision-making in Trane China. The benefits from the use of the TCSDSS prototype that have been found include its spatial analysis, network analysis, and 3D analysis functions besides the improvement on communication and efficiency. It is also found that the newly developed GIS software packages such as ArcGIS 8.3, with the enhanced drawing functions, can provide enough adequate precision level required by facility layout.

Geographic Information Systems and Location Analytics for Business and Management

2020 ◽  
Author(s):  
Peter Keenan
Keyword(s):  
Decision Making ◽  
Spatial Data ◽  
Human Activities ◽  
Smart Cities ◽  
Geographic Information ◽  
Research Field ◽  
Computer Application ◽  
Location Analysis ◽  
The Earth ◽  
Wide Range

A geographic information system (GIS) is a system designed to capture, store, organize, and present spatial data, which is referenced to locations on the Earth. Locational information is of value for a wide range of human activities for decision-making relating to these activities. As spatial data is relatively complex, GIS represents a challenging computer application that has developed later than some other forms of computer systems. GIS uses spatial data for a region of the Earth; such regional data are of interest to a wide range of users whose activities take place in that region, and so many users in otherwise disconnected domains share spatial data. The availability and cost of spatial data are important drivers of GIS use, and the sourcing and integration of spatial data are continuing research concerns. GIS use now spans a wide range of disciplines, and the diversity created is one of the obstacles to a well-integrated research field. Location analysis is the use of GIS for general-purpose analysis to determine the preferred geographic placement of human activities. Location analytics uses spatial data and quantitative spatial models to support decision-making, including location analysis. The growth of location analytics reflects the increasing amounts of data now available owing to new data collection technologies such as drones and because of the massive amounts of data collected by the use of mobile devices like smartphones. Location analytics allow many valuable new services that play an important role in new developments such as smart cities. Location analytics techniques potentially allow the tracking of individuals, and this raises many ethical questions, however useful the service provided; therefore, issues related to privacy are of increasing concern to researchers.

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.

scholarly journals LEVERAGING CITIZEN SCIENCE TO ADVANCE INTERACTIVE SPATIAL DECISION SUPPORT TECHNOLOGY: A SWOT ANALYSIS

2019 ◽  
Vol XLII-5/W3 ◽  
pp. 99-105
Author(s):  
R. Shrestha ◽  
J. Flacke
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Citizen Science ◽  
Support System ◽  
Swot Analysis ◽  
Great Promise ◽  
Spatial Decision Support System ◽  
Citizen Engagement ◽  
Spatial Decision Support ◽  
Planning Support System

Abstract. Over three decades, the Spatial Decision Support System (SDSS) concept has evolved significantly exploiting information technology to assist decision maker in a variety of fields of research, development, and practice. With the communicative turn in planning, which emphasizes public participation in all levels of planning and decision making, these technologies have further matured to support participatory planning by means of supporting diverse stakeholders in the decision making process. However, for multiple reasons, SDSS are still in the domain of expert, largely failing to incorporate general citizens in its use and applications. On the same note, citizen science as a method of inquiry is gaining much attention in recent years to engage general citizens in the scientific research, thereby also empowering them to participate in the decisions of the issues affecting them. As such, it seems likely that citizen science shows great promise for advancing SDSS for achieving broad citizen engagement in planning and decision-making. This paper discusses the strengths, weaknesses, opportunities, threats (SWOT) of integrating citizen science with SDSS by analyzing existing literature on SDSS and citizen science. In particular, we explore the integration of aspects of citizen science in Interactive Planning Support System (PSS), as one form of SDSS to support wider citizen engagement.

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