Design and Implementation of Multilayer GIS Framework in Natural Resources Management: Red Sea Area

Author:

Ahmed Thowiba E.1ORCID,Kheiralla K. M.2ORCID,Awad Ahmed Fatima Rayan3ORCID,Saeed Rashid A.4,Alhumyani Hesham4

Affiliation:

1. Computer Science Dept, College of Science Humanities-Jubail, Imam Abdulrahman Bin Faisal University, Jubail 35811, Saudi Arabia

2. Department of Geophysics, Alneelain University, Khartoum, Sudan

3. Computer Science Dept., College of Computer Engineering and Science, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia

4. Department of Computer Engineering, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia

Abstract

This study aims to create an integrated geographical information system (GIS) database of natural resources represented by mining activities in the Red Sea area in Sudan. GIS is a vital tool to help the decision-makers in managing and classifying these resources in terms of quantity and quality within the concept of sustainable development. The paper extracts some models of investment map indicators. In addition to that, it conducts a study and research aimed at developing a mineral resources management and discovering and identifying the new areas of mineral wealth in GIS database. The motivation of this study stems from the fact that countries with these types of wealth can greatly grow their gross domestic product (GDP) through the optimum management and governance. Most of the least development countries (LDC) can focus on the search for alternative natural resources (beside other conventional resources, i.e., agriculture) to support their economy. Red Sea region is one of the great regions full of natural and mineral resources (specifically gold and minerals), beside its strategic location on the way of most of the global trade transaction path. This paper designs and implements GIS multiple database layers. The multiple layers were modelled to overcome the technical difficulties that result from processing of large quantities of tempospatial information. The database was built by using an Oracle database system due to its capability of multilayer design.

Funder

Taif University

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

Reference35 articles.

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