This paper presents a method for thematic agreement assessment of geospatial data products of different semantics and spatial granularities, which may be affected by spatial offsets between test and reference data. The proposed method uses a multi-scale framework allowing for a probabilistic evaluation whether thematic disagreement between datasets is induced by spatial offsets due to different nature of the datasets or not. We test our method using real-estate derived settlement locations and remote-sensing derived building footprint data.

翻译：本文提出了一种用于评估不同语义和空间粒度的地理空间数据产品主题一致性的方法，该方法能够处理测试数据与参考数据间可能存在的空间偏移问题。所提方法采用多尺度框架，可概率性地评估数据集间的主题不一致性是否由数据集性质差异导致的空间偏移所引发。我们利用基于房地产的聚落位置数据和遥感衍生的建筑轮廓数据对该方法进行了验证。