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From spatial interaction data to spatial interaction information? Geovisualisation and spatial structures of migration from the 2001 UK census

机译:从空间交互数据到空间交互信息? 2001年英国人口普查的地理可视化和迁徙的空间结构

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摘要

In modern GIS applications, flow mapping and geodynamics are not particularly well represented. This is somewhat surprising given the potential of such approaches to shed light on the spatial characteristics associated with the movement of people and goods. Despite the attention of a select number of researchers whose contributions have been significant, however, the subject matter remains underdeveloped and the full potential of spatial interaction data remains largely unrealised. Therefore, this paper represents an attempt to popularise the use of flow mapping within a contemporary GIS, with a view to aiding and enhancing decision support at a range of different spatial scales. It discusses advances in flow mapping, proposes an approach to mapping a large migration matrix from the United Kingdom's 2001 census, and considers the ways in which this can add value to the understanding of geographical patterns of residential mobility. Subsequently, it considers possible dissemination methods via new developments in web-based geospatial technologies before offering some general principles and identifying future challenges. The findings indicate that it is now entirely feasible to map large spatial interaction datasets with common GIS software, that this has the benefit of producing instant, query-led information, and that the knowledge derived from this could be used to inform all kinds of local, regional and national policy formulation and evaluation.
机译:在现代GIS应用程序中,流量映射和地球动力学没有得到很好的体现。考虑到这种方法有可能揭示与人和货物的移动有关的空间特征,这有点令人惊讶。尽管许多研究人员的关注已经做出了巨大贡献,但是,该主题仍未得到充分发展,空间相互作用数据的全部潜力仍未实现。因此,本文代表了一种尝试在现代GIS中普及使用流图的方法,以期在不同空间范围内协助和增强决策支持。它讨论了流量映射的进展,提出了一种从英国2001年人口普查中映射大型移民矩阵的方法,并考虑了可以为理解居民流动性地理模式增加价值的方法。随后,在提供一些通用原则并确定未来挑战之前,它考虑了基于Web的地理空间技术的新发展可能的传播方法。研究结果表明,现在使用通用的GIS软件绘制大型空间交互数据集是完全可行的,这具有产生即时查询主导信息的优势,并且由此获得的知识可用于告知各种本地信息。 ,区域和国家政策的制定和评估。

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