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首页> 外文期刊>The Cartographic Journal >Identification and Utilization of Land-use Type Importance for Land-use Data Generalization
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Identification and Utilization of Land-use Type Importance for Land-use Data Generalization

机译：土地利用类型重要性的识别和利用对土地利用数据的概括

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A proper characterization of land-use types is critical for constructing generalization constraints to guide and control land-use data generalization. This paper focused on identification and utilization of their importance based upon land-use distributions and application themes. First, this importance was identified using a three-step method that links a diversity index, a multiple attribute decision model and a spatial association analysis. Second, with the importance, a mathematical function was designed to determine minimum area thresholds of land-use polygons as an example of generalization constraints. Third, the importance was used to assist in the selection of generalization operators and evaluation of generalization outcomes. Fourth, a land-use dataset at 1: 10 000, describing the land use of a typical rural area in Hubei province of China, was generalized towards a 1: 50 000 dataset to verify the effects of the presented method and function. Three additional tests were implemented to analyze the sensitivity of the importance of land-use types on setting the minimum area threshold and generalization operations. The outcome showed that the proposed methods and functions make land-use data generalization more adaptable for in-use datasets and applications.
机译：正确描述土地利用类型对于构建概括性约束以指导和控制土地利用数据概括性至关重要。本文着眼于根据土地利用分布和应用主题识别和利用其重要性。首先，使用三步法将多样性指数，多属性决策模型和空间关联分析联系起来，确定了这一重要性。其次，作为重要性约束的一个例子，重要的是设计了一个数学函数来确定土地利用多边形的最小面积阈值。第三，重要性被用来协助选择泛化算子和评估泛化结果。第四，将描述中国湖北省典型农村地区土地利用的1：100,000土地利用数据集推广到1：50,000的数据集，以验证所提出方法和功能的效果。进行了三个附加测试，以分析土地使用类型对设置最小面积阈值和泛化操作的重要性的敏感性。结果表明，所提出的方法和功能使土地利用数据概括更适合于在用数据集和应用。

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