Guest editorial for spatial agent-based models: current practices and future trends
Guest editorial for spatial agent-based models: current practices and future trends
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基于空间代理的模型的客座社论：当前实践和未来趋势
DOI：
10.1007/s10707-019-00349-y
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发表时间：
2019
期刊：
影响因子：
2
通讯作者：
Heppenstall A
中科院分区：
文献类型：
--
作者：
Heppenstall A
在过去的几年里，我们已经看到基于空间主体的建模开始在地理科学领域从谨慎的早期采用到普遍接受之间架起桥梁。其中一个关键特征是它能够表现个人特征和行为。通过建立利用这些特征的模拟，研究人员已经获得了一种新的工具来模拟和理解个体在空间和时间上的相互作用、行为和运动的后果。这使得学者和政策制定者都感兴趣的问题得以提出，例如：水改革的经济影响是什么？行人在灾难中会作何反应？谁在一天的不同时间使用我们的城市空间？如果改变对学术研究的资助会有什么影响？改变纳斯达克的价格记录方式会产生什么影响？在不断变化的水条件下，鱼类种群会受到怎样的影响？或者某种疾病是如何传播的？（有关此类问题的更多细节，请参见[1-5]）。这种受欢迎程度的上升得益于技术进步，例如可访问的开发平台的出现，更大的处理能力和存储容量。然而，也可以认为，新的和新颖形式的微观数据的扩散和可用性同样有助于它的吸收。社会科学家第一次发现自己处于一个数据丰富的时代，可以访问各种详细的地理参考数据源（例如，社交媒体，移动电话数据，人口普查信息等），这些数据源具有潜力
Over the last few years we have seen spatial agent-based modelling beginning to bridge the gap from cautious early adoption towards general acceptance within the geographical sciences. One of the key features that has contributed to this is its ability to represent individual characteristics and behaviours. Through building simulations that exploit these characteristics, researchers have been given a new tool to simulate and understand the consequences of individual interactions, behaviours and movements through space and time. This has allowed questions that are of interest to both academics and policy makers to be posed, for example: what would be the economic impact of water reform? How might pedestrians react in a disaster? Who uses our urban spaces at different times of day? What would be the impact if funding was changed for academic research? What will be the impact of changing how prices NASDAQ where recorded? How might fish populations be impacted in changing water conditions? Or how might a certain disease spread?(for more details on such questions see [1–5]).This rise in popularity has been aided by technological advances such as the emergence of accessible development platforms, greater processing power and storage capacity [6]. However, it could also be argued that the proliferation and availability of new and novel forms of micro-level data have equally contributed to its uptake [7]. Social scientists find themselves, for the first time, in a data rich era with access to a variety of detailed geo-referenced data sources (eg, social media, mobile phone data, census information, etc.) that have the potential
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影响因子：
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作者：
Lippe M
通讯作者：
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DOI：
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发表时间：
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DOI：
--
发表时间：
2017
期刊：
影响因子：
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作者：
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影响因子：
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作者：
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通讯作者：
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