Local cost surface models of distance decay for the analysis of gridded population data
Local cost surface models of distance decay for the analysis of gridded population data
复制标题
用于分析网格人口数据的距离衰减的局部成本面模型
DOI：
10.1111/rssa.12047
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
C. Lloyd
中科院分区：
文献类型：
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作者：
C. Lloyd
本文以北爱尔兰网格化人口数据中观察到的宗教隔离为例，评估了对网格化人口数据分析的一些改进建议：首先，使用成本面而不是简单的欧几里得（直线）距离来表示网格化地理区域之间的相互作用；第二，创建考虑矢量特征（如道路和物理障碍物）的网格成本曲面的方法；第三，将成本限制在严格定义的“局部”区域集上，以显著减少计算开销，而不会对后续结果的准确性产生不利影响。结果表明，这三种改进都有其优点。本文进一步探讨了使用对数比而不是百分比（最小）和局部而不是全球隔离措施的影响（这可以更深入地了解人口特征）。尽管案例研究和结果专门适用于网格化人口数据，但本文的结果对任何类型的分区数据的分析都有更广泛的影响。
The paper evaluates some proposed improvements to the analysis of gridded population data, using as a case‐study the religious segregation that is observed in gridded population data from Northern Ireland: first, the use of cost surfaces rather than simple Euclidean (straight line) distances to represent the interactions between gridded geographic areas; second, a method for creating gridded cost surfaces that takes account of vector features (such as roads and physical obstructions); third, the limitation of cost surfaces to a tightly defined ‘local’ set of areas, with a view to reduce computational overheads significantly without adversely impacting the accuracy of subsequent results. The results suggest that all three improvements have merit. The paper further explores the effect of using log‐ratios rather than percentages (minimal) and of local rather than global measures of segregation (which allows for considerably greater insight into population characteristics). Although the case‐study and results apply specifically to gridded population data, the results of the paper have wider implications for the analysis of any type of zonal data.