Visualization for Levels of Animals Diseases by Integrating OLAP and GIS

Animal diseases have constituted a major problem in many developing and developed countries. There are different limitations for the existing computer systems to meet the required information and analytical capabilities for a better decision in the Egyptian animal production domain. This paper prese...

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Bibliographic Details
Published in:International journal of computer science and information security 2012-07, Vol.10 (7), p.44-44
Main Authors: Hassan, Hesham Ahmed, El-Bakry, Hazem, Allah, Hamada Gaber Abd
Format: Article
Language:English
Subjects:
Decision making
Decision support systems
Online analytical processing
Studies
Online Access:Get full text
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Summary:Animal diseases have constituted a major problem in many developing and developed countries. There are different limitations for the existing computer systems to meet the required information and analytical capabilities for a better decision in the Egyptian animal production domain. This paper presents an approach for helping policy/decision makers to improve animal production in Egypt. The paper integrates Online Analytical Processing (OLAP), Geographical Information System (GIS), Spatial Analysis functions and Multicriteria Decision Analysis (MCDA) capabilities to develop a Spatial Decision Support System (SDSS). The main aim of this study is to generate a composite map for decision makers by using some effective factors affect animal production in Egypt. We visualize and analyze different factors such as "Diseases", "Climate", "Soil Pollution", "Veterinary care" and "Economical factors" which affect the animal production in Egypt. The paper takes in consideration influence of each factor because importance and influence of each factor differs according policy/decision makers point of view. [PUBLICATION ABSTRACT]
ISSN:1947-5500