Developing a Flexible Framework for Spatiotemporal Population Modeling
Developing a Flexible Framework for Spatiotemporal Population Modeling
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DOI：
10.1080/00045608.2015.1022089
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发表时间：
2015-05
期刊：
影响因子：
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通讯作者：
David J. Martin;S. Cockings;S. Leung
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文献类型：
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作者：
David J. Martin;S. Cockings;S. Leung
本文提出了一个对人口空间和时间分布进行建模的通用框架。这与越来越多需要时空特异性的应用特别相关；例如，为危害应急响应规划提供信息。在回顾了构建人口特定时间表示的尝试后，我们确定了在每个空间、时间和属性域中以最高分辨率组装基础数据模型的重要性。然后可以在这些域的任何所需交集处询问该模型。我们认为，这种方法对于缓解我们所说的可修改时空单位问题的影响是必要的，在该问题中，即使是详细的空间数据也可能不足以支持时间敏感的分析。我们使用定制软件 (SurfaceBuilder247) 针对英国南安普敦的案例研究提出了框架的初步实现。我们使用当前可用的数据源演示了多个参考时间的空间人口分布的生成。本文最后列出了关键研究领域，包括时空总体方法和模型的增强和验证。
This article proposes a general framework for modeling population distributions in space and time. This is particularly pertinent to a growing range of applications that require spatiotemporal specificity; for example, to inform planning of emergency response to hazards. Following a review of attempts to construct time-specific representations of population, we identify the importance of assembling an underlying data model at the highest resolution in each of the spatial, temporal, and attribute domains. This model can then be interrogated at any required intersection of these domains. We argue that such an approach is necessary to moderate the effects of what we term the modifiable spatiotemporal unit problem in which even detailed spatial data might be inadequate to support time-sensitive analyses. We present an initial implementation of the framework for a case study of Southampton, United Kingdom, using bespoke software (SurfaceBuilder247). We demonstrate the generation of spatial population distributions for multiple reference times using currently available data sources. The article concludes by setting out key research areas including the enhancement and validation of spatiotemporal population methods and models.