Abstract:
A Multipurpose Land Administration System (MLAS) encourages data integration from different agencies on land ownership, land use, land valuation, land taxation, land statistics and management which is the aim for this study. Different spatial datasets such as Land parcel boundaries, building locations, road network, crime map, flood risk map, etc., were acquired for the study area. These acquired data were further processed into ArcGIS into interoperable formats following designed database models useful for the MLAS. The spatial databases were saved online using Google drive services. ArcGIS was then used to integrate the various spatial database to model a Multipurpose
Land Administrative system (MLAS). Spatial queries were then performed in ArcGIS to
demonstrate the functionality of the MLAS. The result demonstrated the need for data integration across organizations in promoting effective land management, planning, and sustainable development.
