Key Issues on Quality Standardization of Geospatial Data

On the basis of the concept of geospatial data quality, this paper introduces the dimensions of geospatial data quality for further understanding the components. The quality dimensions include spatial dimension, temporal dimension and thematic dimension. For each dimension, there are several quality components. A serials of geospatial data non-quantitative quality elements, quantitative quality elements and subelements are proposed as a reference of geospatial data quality components standardization for China. This paper discusses measures and evaluation methods for geospatial data quality and lists four types of geospatial data quality measures and gives a simple guide about how to select a suitable measure for a subelement. Through combining the weighted and aggregated quality evaluation method of ISO/TC211 and negative scores quality evaluation method based on quality effect in China, a kind of new quality evaluation method is introduced, and the operation procedures is illustrated.