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Same space - different perspectives: comparative analysis of geographic context through sketch maps and spatial video geonarratives

机译:相同的空间-不同的视角:通过草图和空间视频地理叙事对地理环境进行比较分析

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摘要

The importance of including a contextual underpinning to the spatial analysis of social data is gaining traction in the spatial science community. The challenge, though, is how to capture these data in a rigorous manner that is translational. One method that has shown promise in achieving this aim is the spatial video geonarrative (SVG), and in this paper we pose questions that advance the science of geonarratives through a case study of criminal ex-offenders. Eleven ex-offenders provided sketch maps and SVGs identifying high-crime areas of their community. Wordmapper software was used to map and classify the SVG content; its spatial filter extension was used for hot spot mapping with statistical significance tested using Monte Carlo simulations. Then, each subject's sketch map and SVG were compared. Results reveal that SVGs consistently produce finer spatial-scale data and more locations of relevance than the sketch maps. SVGs also provide explanation of spatial-temporal processes and causal mechanisms linked to specific places, which are not evident in the sketch maps. SVG can be a rigorous translational method for collecting data on the geographic context of many phenomena. Therefore, this paper makes an important advance in understanding how environmentally immersive methods contribute to the understanding of geographic context.
机译:在社会科学数据的空间中,将上下文支持纳入社会数据的空间分析的重要性正在日益受到关注。但是,挑战在于如何以一种可转换的严格方式捕获这些数据。在实现这一目标方面显示出希望的一种方法是空间视频地理叙事(SVG),在本文中,我们提出了一些问题,这些问题通过对犯罪前犯的案例研究来推进地理叙事的科学。 11名前罪犯提供了草图和SVG,以标识其社区的高犯罪地区。使用Wordmapper软件对SVG内容进行映射和分类。其空间滤波器扩展用于热点映射,并使用蒙特卡洛模拟测试了统计显着性。然后,比较每个受试者的素描图和SVG。结果表明,与草图相比,SVG始终生成更好的空间比例数据和更多相关位置。 SVG还提供了与特定位置相关的时空过程和因果机制的解释,这在草图中并不明显。 SVG可以是一种严格的转换方法,用于在许多现象的地理环境中收集数据。因此,本文在理解环境沉浸式方法如何有助于理解地理环境方面取得了重要进展。

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