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Geodatabase Maseno University Campus

📍 Maseno University, Kisumu County📅 2023Academic Project — Graded A-
ArcGISGeodatabaseFeature ClassesCampus Mapping

Overview

This project involved designing and populating a full enterprise geodatabase for Maseno University, capturing all campus infrastructure as attributed spatial features. The database was designed following ESRI geodatabase best practices with domains, subtypes, and relationship classes.

Field GPS surveys were conducted across the 700-acre campus to collect coordinates for buildings, roads, walkways, utilities (water pipes, electrical lines), vegetation patches, and amenities. Features were classified into 14 feature classes across 3 feature datasets.

Topology rules were defined and enforced to ensure spatial integrity, ensuring roads connected at intersections, building footprints did not overlap, and utility lines snapped correctly to junction nodes.

Key highlights

  • Designed schema with 14 feature classes and 3 feature datasets
  • Surveyed and captured 180+ campus buildings and structures
  • Mapped 22km of campus walkways and roads
  • Built Python (arcpy) script to automate feature attribution

Challenges

Coordinating access to utility infrastructure records required working with the university estates department. Inconsistencies between old blueprints and current campus layout required extensive field verification.

Outcome & results

Geodatabase delivered to the Maseno University ICT and Estates Department for facilities management. Project graded A-.

Tools used
ArcGIS ProArcCatalogGPS GarminTotal StationPython (arcpy)
Project details
LocationMaseno University, Kisumu County
Year2023
CategoryDatabase
OutcomeAcademic Project — Graded A-
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