Disaster management depends on large volumes of comprehensive, accurate, relevant, on-time geoinformationrnthat various organizations systematically create and maintain. One cannot assure quality of geoinformationrn(QGI) without first being able to measure it meaningfully and establishing a causal connection betweenrnthe source of QGI change, the QGI problem types, the types of activities affected, and their implications. In thisrnarticle we propose a general IQ assurance framework. In contrast to context-specific IQ assurance models, whichrnusually focus on a few variables determined by local needs, our framework consists of comprehensive typologies ofrnIQ problems, related activities, and a taxonomy of IQ dimensions organized in a systematic way based on semioticrntheories and practices. The framework can be used as a knowledge resource and as a guide for developing QGIrnmeasurement models for many geo-information technologies which can offer a variety of opportunities to aidrnmanagement and recovery in the aftermath of disasters. The framework was validated and refined by enhancingrnQGI generated by remote sensing through the technologies of photogrammetry.
展开▼
