The Spatial Dimensions of Multi-Criteria Evaluation – Case Study of a Home Buyer’s Spatial Decision Support System

2006 ◽  
pp. 338-352 ◽  
Author(s):  
Claus Rinner ◽  
Aaron Heppleston
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Spatial Decision Support System ◽  
Spatial Decision Support ◽  
Multi Criteria Evaluation ◽  
Spatial Dimensions

scholarly journals The Spatial Dimensions of Multi-Criteria Evaluation – Case Study of a Home Buyer’s Spatial Decision Support System

2021 ◽  
Author(s):  
Claus Rinner ◽  
Aaron Heppleston
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Spatial Decision Support System ◽  
Spatial Decision Support ◽  
Multi Criteria Evaluation ◽  
Spatial Dimensions

The Spatial Dimensions of Multi-Criteria Evaluation – Case Study of a Home Buyer’s Spatial Decision Support System

scholarly journals The Spatial Dimensions of Multi-Criteria Evaluation – Case Study of a Home Buyer’s Spatial Decision Support System

2021 ◽  
Author(s):  
Claus Rinner ◽  
Aaron Heppleston
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Spatial Decision Support System ◽  
Spatial Decision Support ◽  
Multi Criteria Evaluation ◽  
Spatial Dimensions

The Spatial Dimensions of Multi-Criteria Evaluation – Case Study of a Home Buyer’s Spatial Decision Support System

scholarly journals Web-Based Spatial Decision Support System andWatershed Management with a Case Study

2011 ◽  
Vol 02 (03) ◽  
pp. 195-203 ◽  
Author(s):  
Yanli Zhang ◽  
Ramanathan Sugumaran ◽  
Matthew McBroom ◽  
John DeGroote ◽  
Rebecca L Kauten ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Spatial Decision Support System ◽  
Spatial Decision Support ◽  
Web Based

Towards Spatial Decision Support System for Animals Traceability

2011 ◽  
pp. 389-411
Author(s):  
Marcos Visoli ◽  
Sandro Bimonte ◽  
Sônia Ternes ◽  
François Pinet ◽  
Jean-Pierre Chanet
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Decision Makers ◽  
Spatial Decision Support System ◽  
Private Institutions ◽  
Accurate Data ◽  
Spatial Decision Support ◽  
New Generation

Animal traceability is a very important question for several government and private institutions from many points of view: economical, sanitary, etc. Traditional systems are able to memorize the main bovine movements, or to capture the geolocation of an animal using RFID. Now it should be possible to envisage a new generation of traceability systems in which the different locations are automatically recorded several times per day for each animal. These systems should also be coupled with analysis techniques to help decision-makers to take decisions, validate and/or reformulate their hypothesis. In this chapter the authors present a spatial decision support system dedicated to the animal geolocation acquisitions and analysis of possible sanitary problems. Indeed, in case of sanitary alerts, the system is able to determine the animals which have been in contact with a diseased animal exploiting historical trajectories of animals. It is applied to traceability of beef cattle using the Brazilian production system as a case study. OTAG focuses on improving methods and geotechnologies for recording reliable and accurate data on beef production.

scholarly journals A SPATIAL DECISION SUPPORT SYSTEM FOR ECOTOURISM DEVELOPMENT IN CASPIAN HYRCANIAN MIXED FORESTS ECOREGION

2015 ◽  
Vol 21 (2) ◽  
pp. 340-353 ◽  
Author(s):  
ALI BALI ◽  
SEYED MASOUD MONAVARI ◽  
BORHAN RIAZI ◽  
NEMATOLLAH KHORASANI ◽  
MIR MASOUD KHEIRKHAH ZARKESH
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Spatial Decision Support System ◽  
Residential Areas ◽  
Spatial Decision Support ◽  
Northern Iran ◽  
Mixed Forests ◽  
Multi Criteria Evaluation ◽  
Hierarchy Process

Ecotourism, as a form of sustainable nature-based tourism, promotes conservation of ecological and scenic values. In this study, a Spatial Decision Support System, SDSS, was developed based upon Multi Criteria Evaluation, MCE, for ecotourism development in the Caspian Hyrcanian Mixed Forests ecoregion, northern Iran. For this, important criteria and constraints for ecotourism development were shortlisted using the Delphi Method. The criteria were weighted using Analytical Hierarchy Process, AHP. The obtained results indicated that "distance from water resources", "land use", "slope", "soil", "climate", "distance from roads", "land cover density", "erosion", and "distance from residential areas" were the most important criteria, respectively. The findings suggest that GIS-based SDSS is suitable to engage the various criteria affecting the development of ecotourism destinations. This empirical research develops a new method that can significantly facilitate planning forecotourism development with respect to ecological capability of ecotourism destinations.

Sign in / Sign up

Export Citation Format

Share Document