Developing Web-based GIS/MCE: Improving Access to Data and Spatial Decision Support Tools

Author(s):  
Steve Carver
2003 ◽  
Vol 12 (2) ◽  
pp. 193-208 ◽  
Author(s):  
Gennady Andrienko ◽  
Natalia Andrienko ◽  
Piotr Jankowski

Author(s):  
Dossay Oryspayev ◽  
Ramanathan Sugumaran ◽  
John DeGroote

Spatial decision support systems (SDSS) are decision support tools which have been used widely in addressing complicated issues involving a spatial component. The use of SDSS has increased greatly over the last few decades especially in fields such as planning, natural resources management, and environmental science. Traditionally, SDSS have been developed with Geographic Information Systems (GIS) technology as a major component and used in application areas in which the use of GIS technology has been common. GIS software is often expensive and requires significant expertise, which can lead to under-utilization of GIS-based SDSS. In this paper, we describe the development of a freely available SDSS extension developed for Microsoft Excel, a very commonly used spreadsheet application. The purpose of this SDSS is to expand potential SDSS use to a wider potential audience for research, management, and teaching purposes.


2013 ◽  
pp. 480-492 ◽  
Author(s):  
Dossay Oryspayev ◽  
Ramanathan Sugumaran ◽  
John DeGroote

Spatial decision support systems (SDSS) are decision support tools which have been used widely in addressing complicated issues involving a spatial component. The use of SDSS has increased greatly over the last few decades especially in fields such as planning, natural resources management, and environmental science. Traditionally, SDSS have been developed with Geographic Information Systems (GIS) technology as a major component and used in application areas in which the use of GIS technology has been common. GIS software is often expensive and requires significant expertise, which can lead to under-utilization of GIS-based SDSS. In this paper, we describe the development of a freely available SDSS extension developed for Microsoft Excel, a very commonly used spreadsheet application. The purpose of this SDSS is to expand potential SDSS use to a wider potential audience for research, management, and teaching purposes.


2000 ◽  
Vol 1719 (1) ◽  
pp. 200-208 ◽  
Author(s):  
Kaan Özbay ◽  
Shirsendu Mukherjee

The Internet is fast becoming the standard environment for client-server applications that involve multiple users. The proliferation of Internet-based application development tools opens new doors to transportation researchers who work in real-time decision support system development. In the 1990s, one of the most important problems in advanced transportation management systems research was the development of better incident management systems. Although the incident management process has been well studied, the development of real-time decision support systems that can be used by all the involved agencies remains a challenging area of transportation engineering research. Existing incident management systems are developed on various traditional computing platforms, including UNIX and Windows. However, with the advent of the World Wide Web and Internet-based programming tools such as Java, it is possible to develop platform independent decision support tools for the incident management agencies. Web-based support tools offer an invaluable opportunity to develop next-generation online decision support tools for real-time traffic management. The applicability of Web-based tools to the development of online decision support systems for incident management is explored and demonstrated, and a prototype incident management decision support system (DSS) that has most of the capabilities of similar UNIX-based DSS support systems is developed and tested. Briefly described are the implementation and development of a prototype wide-area incident management system using Web-based tools.


Ecosphere ◽  
2018 ◽  
Vol 9 (10) ◽  
pp. e02453 ◽  
Author(s):  
Daniel F. Shryock ◽  
Lesley A. DeFalco ◽  
Todd C. Esque

Stroke ◽  
2012 ◽  
Vol 43 (suppl_1) ◽  
Author(s):  
Carolee J Winstein ◽  
Brent Liu ◽  
Alexander Dromerick ◽  
Andrew Butler ◽  
Steven Wolf ◽  
...  

BACKGROUND: Stroke is one of the major causes of death and disability in America. The Interdisciplinary Comprehensive Arm Rehabilitation Evaluation (ICARE) project aims to compare a theoetically-defensible, evidence-based arm therapy, Accelerated Skill Acquisition Program, with traditional therapies. Imaging of the brain provides evidence of the location and severity of the stroke lesion. Researchers can analyze selected images acquired prior to enrollment and perform knowledge discovery of correlation between the size and location of the lesion and specific rehabilitation outcomes. However, large-scale trials such as ICARE encounter challenges for integrating imaging data from multiple healthcare institutions across the country. The ICARE project has 7 clinical sites distributed across the country, with more than 160 patients randomized thus far, tens of gigabytes of imaging data are involved. Therefore, we propose to develop a web-based system with tools that can support imaging and informatics related data within such a randomized controlled trial and allow for tele-consultation and collaboration. EVALUATION: The system includes a database and file storage system, a Health Insurance Portability and Accountability Act (HIPAA)-compliant anonymizer, a web-based Graphical User Interface (GUI) and decision-support tools such as lesion quantifying tools and image analysis. The GUI allows users to upload, search and review the images, patient information and annotations. The HIPAA-compliant anonymizer will anonymize any private information according to HIPAA. The lesion quantifying tool will help clinicians to measure, quantify, and characterize the size of lesion and evaluate the rehabilitation progress. The system will be used within 7 clinical sites and evaluated by researchers in the ICARE trial. DISCUSSION: The system allows for tele-consultation and is facilitated through the development of a thin-client image viewing application. Clinicians and researchers across the country can manage the imaging data, make and store annotations, measure the lesion size, and collaborate to identify the imaging biomarkers that would ultimately enhance the existing ICARE clinical trial database. Moreover, the anonymizer tool can be used not only for imaging data in this rehabilitation trial, but also for other data from multi-site clinical trials since most studies are required to be anonymized. CONCLUSION: A comprehensive imaging informatics system for a large-scale controlled stroke rehabilitation trial is developed. Physicians and clinical researchers are able to collect, organize and analyze stroke cases efficiently and effectively across multiple sites.


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