研究目的：为保证土地利用图缩编质量，建立土地利用图面状要素缩编的质量评价模型。研究方法：应用模糊综合评判的方法，针对土地利用图中面状要素全覆盖、无重叠、无缝隙等特性，选取曲折度变化率、质心偏移量、土地利用语义、地类面积比例结构以及地图载负量等评价指标，确定各个指标的评价等级和相对权重，建立质量评价模型。研究结果：通过该质量评价模型，比较采用迭代算法和蚁群优化算法缩编的同一个地区，结果显示利用蚁群优化算法进行缩编的效果更好，从而验证了模型的有效性。研究结论：该质量评价模型有助于改进综合算法，改善整个综合过程，保证土地利用图的缩编质量。%The purpose of this paper is to build a quality evaluation model for the area factors generalization in land use map. Research steps include 1) according to the characteristics of full coverage, no overlap and no seamless of area factors of land use map, evaluation indicators include change rate of sinuosity, displacement of cancroids, semantics of land use parcels, area rate of land use types and map loading by applying fuzzy comprehensive evaluation method, 2) the evaluation ranks and weighs of each evaluation indicator are determined, and 3) the quality evaluation model of generalization is built. The result indicates that generalization method of ant colony optimization is better than the iterative algorithm by applying this quality evaluation model for same area, which verifies the validity of the model. It is concluded that the quality evaluation model in this paper can make the comprehensive algorithm better, improve the whole generalization process and finally ensure the quality of land use map generalization.
展开▼
