Various governmental agencies use spatial decision support systems (SDSS) for not only long range planning activities but also running day-to-day operations. For example, many cities and counties use computer applications for managing snow removal assets in order to keep the roads cleared and the transportation network functioning. Prior research has reported a number of systems that provide li...

Forest planning is a complex endeavor when political agendas, public demands, industry needs, and sustainability issues are thrown into the mix. Spatial decision support systems (SDSS) have evolved to address this complex planning situation. Considerable work on SDSS development has emanated from the field of forestry. This article reviews SDSS development and use in forest resource management....

Mahmoud Bakr Department of Expert System Tools, Central Lab. For Agricultural Expert Systems,ARC, Egypt Email: [email protected] Mona Nasr Department of Information Systems, Faculty of Computers & Info.,Helwan University, Egypt Email: [email protected] Maryam Hazman Department of Testing and Training, Central Lab. For Agricultural Expert Systems,ARC, Egypt Email: [email protected] ----...

At the global scale, high magnitude – low frequency natural disasters are a damaging phenomenon. There is growing recognition that successful disaster response strategies depend upon access to real-time spatial data/information that can be effectively utilized by not only relief agencies but also by local decision makers. Currently, many local and regional authorities are developing geographic ...

Many Spatial Decision Support Systems (SDSSs) have been developed for environmental and natural resources decisionmaking in recent years. However, an important limitation of the SDSS applications is that they are not interoperable. Several issues prevent the further development of SDSS applications such as the incapability of sharing and reusing existing heterogeneous data and geoprocessing. Th...

Information technology (IT) is more likely to have a positive impact on individual performance if the capabilities it has more closely matches the tasks that the individual must perform. The objective of this research is to examine how improvements in the information quality can lead to quantifiable improvements in individual performance. A case study involving a spatial decision support system...

There is mounting pressure on healthcare planners to manage and contain costs. In rural regions, there is a particular need to rationalize health service allocation to ensure the best possible coverage for a dispersed population. Rural health administrators need to be able to quantify the population affected by their allocation decisions and, therefore, need the capacity to incorporate spatial ...

Due to the immense amount of data, models and expert knowledge, decisions in the field of management and planning are no longer easy to make. As modern computers are able to process comprehensive data, innovative decision support functionalities and processors can be used to maintain such complex decisions. As soon as spatial data is included in the decision making process, GIS tools shall be i...

This paper proposes a new type of Information/Communication system or Inquiry System to support the investigation by large groups (e.g. thousands of people) of complex topics about which many diverse and opposing views are held. The objective of this system is the production, integration, and synthesis of diverse views in a manner in which: a) all participants can come to respect and understand...

A customized geographical information system (GIS) has been developed to support focal indoor residual spraying (IRS) operations as part of a scaled-up campaign to progressively eliminate malaria in Vanuatu. The aims of the GISbased spatial decision support system (SDSS) were to guide the planning, implementation and assessment of IRS at the household level. Additional aims of this study were t...