Spatial Data Analysis: Recommendations for Educational Infrastructure in Sindh

  • Abdul Aziz Ansari Department of Computer Science, Sukkur IBA, Pakistan
  • M. Abdul Rehman Department of Computer Science, Sukkur IBA, Pakistan
  • Ahmad Waqas Department of Computer Science, Sukkur IBA, Pakistan
  • Shafaq Siddiqui Department of Computer Science, Sukkur IBA, Pakistan

Abstract

Analysing the Education infrastructure has become a crucial activity in imparting quality teaching and resources to students. Facilitations required in improving current education status and future schools is an important analytical component. This is best achieved through a Geographical Information System (GIS) analysis of the spatial distribution of schools. In this work, we will execute GIS Analytics on the rural and urban school distributions in Sindh, Pakistan. Using a reliable dataset collected from an international survey team, GIS analysis is done with respect to: 1) school locations, 2) school facilities (water, sanitation, class rooms etc.) and 3) student’s results. We will carry out analysis at district level by presenting several spatial results. Correlational analysis of highly influential factors, which may impact the educational performance will generate recommendations for planning and development in weak areas which will provide useful insights regarding effective utilization of resources and new locations to build future schools. The time series analysis will predict the future results which may be witnessed through keen observations and data collections.  

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Published
2017-06-30
How to Cite
ANSARI, Abdul Aziz et al. Spatial Data Analysis: Recommendations for Educational Infrastructure in Sindh. Sukkur IBA Journal of Computing and Mathematical Sciences, [S.l.], v. 1, n. 1, p. 96-107, june 2017. ISSN 2522-3003. Available at: <http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/12>. Date accessed: 27 oct. 2020. doi: https://doi.org/10.30537/sjcms.v1i1.12.
Section
Research Articles

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