Spatial Data Analysis: Recommendations for Educational Infrastructure in Sindh

• DOI: 10.30537/sjcms.v1i1.12
• Publication Date: 2018-01-25T07:35:30Z
• Authors: Abdul Aziz Ansari; M. Abdul Rehman; Ahmad Waqas; Shafaq Siddiqui
• Keywords: TK7885-7895; Computer engineering. Computer hardware; Electronic computers. Computer science; 4. Education; 11. Sustainability; QA1-939; QA75.5-76.95; 0101 mathematics; 01 natural sciences; Mathematics

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