GeoInsights

التحليلات المكانية لتخطيط التعليم والنقل المدرسي

Spatial analytics for the education sector

Two use-case portfolios on one engine and one national geography: Ministry of Education planning across seven analyses, and Rafed school transportation built to the approved planning rules.

Portfolios

Eight use cases, two briefs, one platform

Ministry of Education

7 use cases
🏫UC1
School Spatial Planning

Capacity against student demand per stage and gender, with new-school, expansion, relocation and consolidation actions.

🛣️UC2
School Accessibility

Travel time and distance to the assigned school for students and staff, and the avoidable travel a reassignment would remove.

📈UC3
Academic Performance Geography

Benchmark-relative results across NAFS, PISA, TIMSS, PIRLS and Tarteeb, with Getis-Ord Gi* performance clusters.

👩‍🏫UC4
Workforce Distribution

Shortages and surpluses per school and specialization against the establishment table, with redistribution options.

🔁UC5
Internal Teacher Transfers

Where transfer demand concentrates, and whether approving it closes a real staffing gap or creates a surplus.

🎓UC6
University Program Planning

Programme demand located at the applicant’s home region against the seats that actually exist there.

💼UC7
Graduate Outcomes

Employment rate, time to employment, field alignment and regional talent retention by programme.

Rafed — School Transportation

1 use case
🚌UC1
Student Transportation Assignment

Rule-compatible student grouping, route design within the approved planning rules, bus sizing, and a like-for-like comparison against the network in operation today.

Rules R1–R12, stated

Every approved planning rule is carried in the product, including the road-network rules this deployment does not evaluate. A route awaiting a manual check is labelled as such — never reported as compliant.

Method

Every number carries how it was computed

E2SFCA per segment

Seat adequacy runs separately for each stage and gender, then weights up. An aggregate figure would net a girls’ surplus against a boys’ deficit in the same district and call it adequate.

Benchmark-relative scoring

NAFS, PISA, TIMSS, PIRLS and Tarteeb sit on different scales, so results are normalised to a gap against their own benchmark before any district average is taken.

Establishment-based gaps

Workforce shortage is measured against the ministry’s required-vs-assigned table, not inferred from enrollment. Where no record exists, the derived requirement is marked as derived.

Stated proxies

Distances are straight-line with a 1.3 detour factor unless a routing engine is configured, and every response says which was used. A proxy reported as a proxy is usable; one reported as a measurement is not.