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A METHOD USING ESDA TO ANALYZE THE SPATIAL DISTRIBUTION PATTERNS OF CULTURAL RESOURCE

机译:一种使用ESDA分析文化资源空间分布模式的方法

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The spatial distribution pattern of cultural resource generally manifests clustered qualification to some extent, and we can infer the vicissitudes of the correlative culture by analyzing the changing rule of the spatial distribution pattern of cultural resource. However; the majority of the concerned researches are still at the level of qualitative statistics and thematic map visualization of some general features at present, without taking the characteristic into account. Aiming at making up the shortage, the paper therefore analyzes the spatial distribution of a special type of cultural resource - the ancient Toponym which is defined as the name of the places where the immigrants settled down by using Exploratory Spatial Data Analysis (ESDA) methods. We first made both qualitative analysis and quantitative analysis to confirm the existence of the clustered qualification by computing Global Moran's I and Global Geary's C values, later we made a further study about the similarity of different clustered regions and told them apart. At last, we came to a conclusion that not only the spatial distribution pattern of cultural resource is usually clustered, but also the similarity degree of the clustered regions differs from one another. In addition to revealing the spatial patterns of the Toponym distribution, this paper promotes an explicitly spatial view that has certain methodological implications for the application of spatial statistic methods in Cultural Geography research.
机译:文化资源的空间分布格局一定程度地表现出聚类资格,我们可以通过分析文化资源的空间分布模式的变化规则来推断相关文化的沧桑。然而;大多数有关的研究仍处于定性统计数据和专题地图可视化的某些一般特征,而不考虑特征。因此,旨在弥补短缺,因此分析了一种特殊类型的文化资源的空间分布 - 这是古代地名,它被定义为通过使用探索性空间数据分析(ESDA)方法落下的移民落户的地方的名称。我们首先通过计算Global Moran的I和全球Geary的C值来证实了定性分析和定量分析,以确认通过计算全球莫兰的I和全球GESSY的C值。我们进一步研究了不同聚类区域的相似性并告诉他们分开。最后,我们得出结论,不仅包括文化资源的空间分布模式通常是聚集的,而且聚集区域的相似度也与彼此不同。除了揭示正品分布的空间模式之外,本文促进了一个明确的空间视图,具有对文化地理研究中的空间统计方法的应用具有某些方法论影响。

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