Technical Outline of a W3 Spatial (Decision Support) Prototype

2011 ◽  
pp. 946-967 ◽  
Author(s):  
João Negreiros ◽  
Marco Painho ◽  
Fernando J. Aguilar ◽  
Manuel A. Aguilar
Keyword(s):  
Decision Support ◽  
Spatial Autocorrelation ◽  
Geographical Information ◽  
Spatial Decision Support System ◽  
Spatial Decision Support ◽  
Information Server ◽  
Internet Information ◽  
Internet Platform ◽  
Client Side ◽  
Conclusion Section

The present research focuses on the first software to offer spatial autocorrelation and association measures, spatial exploratory tools, variography and Ordinary Kriging spatial interpolation in the World Wide Web. Exploiting IE® (Internet Explorer), ASP® (Active Server Pages), PHP® (Hypertext Preprocessor) and IIS® (Internet Information Server) capabilities, SAKWeb© (Spatial Autocorrelation and Kriging Web) was designed in an attractive and straightforward way for any GIS user. Hence, this chapter concentrates on the technical development and design of this Internet application. The differences between server and client side techniques are emphasized in the preamble section while the following one discusses the controversial debate between GIS (Geographical Information System) and SDSS (Spatial Decision Support System) concepts. The opening prospect given by the Internet platform is presented in section three. The next section fully reviews the main technological software used for its construction. References are made to their use within SAKWeb©. Some particular capabilities as an end-user were not forgotten, as well. The conclusion section leads to some future hints regarding its potential.

Technical Outline of a W3 Spatial (Decision Support) Prototype

2011 ◽  
pp. 2544-2564
Author(s):  
João Negreiros ◽  
Marco Painho ◽  
Fernando J. Aguilar ◽  
Manuel A. Aguilar
Keyword(s):  
Decision Support ◽  
Spatial Autocorrelation ◽  
Geographical Information ◽  
Spatial Decision Support System ◽  
Spatial Decision Support ◽  
Information Server ◽  
Internet Information ◽  
Internet Platform ◽  
Client Side ◽  
Conclusion Section

The present research focuses on the first software to offer spatial autocorrelation and association measures, spatial exploratory tools, variography and Ordinary Kriging spatial interpolation in the World Wide Web. Exploiting IE® (Internet Explorer), ASP® (Active Server Pages), PHP® (Hypertext Preprocessor) and IIS® (Internet Information Server) capabilities, SAKWeb© (Spatial Autocorrelation and Kriging Web) was designed in an attractive and straightforward way for any GIS user. Hence, this chapter concentrates on the technical development and design of this Internet application. The differences between server and client side techniques are emphasized in the preamble section while the following one discusses the controversial debate between GIS (Geographical Information System) and SDSS (Spatial Decision Support System) concepts. The opening prospect given by the Internet platform is presented in section three. The next section fully reviews the main technological software used for its construction. References are made to their use within SAKWeb©. Some particular capabilities as an end-user were not forgotten, as well. The conclusion section leads to some future hints regarding its potential.

An Interactive Spatial Decision Support System Enabling Co-Located Collaboration using Tangible User Interfaces for the Multiple Capacitated Facility Location Problem

2015 ◽  
Vol 7 (2) ◽  
pp. 15-28 ◽  
Author(s):  
Nikolaos Ploskas ◽  
Ioannis Athanasiadis ◽  
Jason Papathanasiou ◽  
Nikolaos Samaras
Keyword(s):  
Decision Support ◽  
User Interfaces ◽  
Location Problem ◽  
Facility Location Problem ◽  
Geographical Information ◽  
Spatial Decision Support System ◽  
Tangible User Interfaces ◽  
Spatial Decision Support ◽  
Capacitated Facility Location Problem ◽  
Capacitated Facility Location

The Multiple Capacitated Facility Location Problem (MCFLP) is well-known and studied in the international literature optimization problem. The geographical information data of the enterprises' locations are usually either ignored by the modeler or entered manually in these systems. In this paper, a spatial Decision Support System (DSS) is designed and implemented enabling co-located collaboration using tangible user interfaces through a tabletop. The location of the enterprises and the demand nodes can be added with the use of interactive Google Maps. The DSS extracts the geographical information of the selected locations, find the distances between them and executes a dynamic approximation algorithm for this problem. The interactive spatial DSS has been implemented using Java, TUIO protocol and Google Maps. The tabletop offers a user-friendly interface that can be manipulated with human fingers and fiducials.

SPATIAL DECISION SUPPORT SYSTEM FOR LIVELIHOOD PROGRAMMES IN NORTHERN NIGERIA

2021 ◽  
Vol 5 (1) ◽  
pp. 174-185
Author(s):  
John A. Oyedepo ◽  
E. O. Oyedepo ◽  
A. A. Adeola ◽  
A. M. Omotayo
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Geographical Information ◽  
Spatial Decision Support System ◽  
Spatial Decision Support ◽  
Positioning Systems ◽  
The Future ◽  
Feed The Future ◽  
Future Project

The paper examines the relevance of geospatial maps and technics in execution of livelihood support projects among rural poor.  Previous attempts towards driving the poor along prosperity pathways in Nigeria have failed because of incorrect deployment of interventions in time and space. Global positioning systems and Geographical information systems were employed in this study to provide insight to the challenges faced by previous livelihood support projects in the country while also providing a robust spatial decision support system for geographical targeting of interventions to vulnerable households. The study selected 1,459 households from the 42,000 households adopted for the Feed the Future Project in 3 northern States namely; Sokoto, Kebbi States and the Federal Capital Territory. Acquired survey data were converted into GIS maps so as to expose hidden trends in the characteristics of target population and to suggest the best options for interventions. The data were subjected to spatial analysis such as simple distance analysis. The outcomes revealed 86% of sampled households to be largely below the poverty line. This is mainly due to poor access to facilities like health care, markets, good roads, agricultural inputs, agricultural information and advisory services. 10 % of children’s absolute score of Mid Upper Arm Circumference (MUAC) revealed acute malnutrition. 42 % of the household however now have stronger safety nets as a result of the interventions. The study found Spatial Information technology highly useful in social intervention project as the one by the Feed the Future project

GIS and Environmental Decisionmaking to Aid Smelter Reclamation Planning

1997 ◽  
Vol 29 (1) ◽  
pp. 5-19 ◽  
Author(s):  
R Hickey ◽  
P Jankowski
Keyword(s):  
Decision Support ◽  
Data Integration ◽  
Environmental Protection Agency ◽  
Abandoned Mines ◽  
Digital Data ◽  
Geographical Information ◽  
Spatial Decision Support System ◽  
Spatial Decision Support ◽  
Remotely Sensed Data ◽  
Mine Sites

Abandoned mines and mining-related activities typically cause environmental problems related to erosion and pollutant transport. Traditional methods of smelter reclamation plan design are hampered by the lack of data integration and by time-consuming analysis. The proposed spatial decision-support system will minimize these problems as data integration and analysis are offered within one computerized environment. A geographical information system (GIS), remotely sensed data, erosion modeling, and multicriteria decisionmaking (MCDM) methods have been integrated to support reclamation procedures better. Integration of the digital data sources and analysis will produce more realistic, up-to-date models of damaged lands. This methodology is applicable to any number of damaged sites, including mine sites, smelter sites, widespread hazardous-waste sites, and areas negatively impacted by intense agriculture or forestry. The system has been tested at the Anaconda smelter site, an Environmental Protection Agency superfund site near Butte, Montana. The primary surficial problems are related to metal toxicity and transport. In addition to producing a description of the physical conditions at the entire site, the system provides spatial decision-support capabilities for generating and evaluating revegetation strategies for the site with the use of different priority schemes.

Interactive Spatial Decision-Support System for Multiobjective Hazardous Materials Location-Routing Problems

1997 ◽  
Vol 1602 (1) ◽  
pp. 101-109 ◽  
Author(s):  
João Coutinho-Rodrigues ◽  
John Current ◽  
João Climaco ◽  
Samuel Ratick
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Hazardous Materials ◽  
Spatial Decision Support System ◽  
Spatial Decision Support ◽  
Location Routing Problem ◽  
Routing Problem ◽  
Location Routing ◽  
Selection Of

Hazardous materials (hazmat) logistics management has received increased attention in the past two decades. Important decisions in such management include the selection of sites for hazmat processing and storage, the selection of transportation routes from sources to processing facilities, and the determination of quantities of hazmat shipped over these routes. These decisions are frequently based on multiple criteria (e.g., cost, risk, equity). A personal computer–based, interactive spatial decision-support system was designed to assist decision makers with such problems. Although presented within the framework of a hazmat problem, the system’s components can be modified to analyse any multiobjective location, routing, or location-routing problem.

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