Measurement-based geospatial data management
University of New Brunswick
Most land surveying firms use ad hoc data management systems that inhibit the reuse of existing data and make it difficult to identify redundant work. This causes systematic inefficiencies in land survey operations. This project aims to provide a solution to this inefficiency by researching data management methods for land survey data. Measurement-Based GIS (MBGIS) is selected as the avenue for this research because of previous literature discussing the potential benefits of its use as a land survey data management system. Unfortunately, existing implementations have issues with processing times and flexibility of data integration. Further research requires a MBGIS prototype to be implemented. A conceptual design of a full data management system is created to provide context for the design and implementation of the prototype. The prototype is developed as a geodetic library and a suite of data integration tests. Each of the tests integrates a series of discrete datasets into a network using a different data integration strategy. The processing times, precision of the resulting networks, and flexibility of the strategies are compared. Two of the strategies provide very similar, positive results. It appears that a MBGIS performing rigorous geodetic reductions of measurements and using one of the two successful integration strategies could be used as a data management system and could improve the efficiency of land survey operations.