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Understanding the New Human Dynamics in Smart Spaces and Places: Toward a Splatial Framework

机译:了解智能空间和地点的新人类动态:走向分裂框架

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The smart technologies led by advances in artificial intelligence, machine learning, and the emerging data science in recent years are transforming many facets of society in profound ways. One of these affected areas is the experience of human dynamics in general and human mobility in particular with the growing maturity of smart technologies. The goal of this article is to critically examine the concepts of space and place in geography in general and in geographic information science (GIScience) in particular so that intelligent geographic information systems incorporating concepts of smart space and smart place can be developed to support human dynamics research. We argue that the current discussions on smart technologies are conceptually constrained due to their confinement to absolute space and physical place. By engaging research on smart technologies with geography and GIScience, we seek to move beyond the crude, and often simplistic, conceptualizations of space and place by synthesizing the multiple dimensions of both space and place. By doing so, we can better understand human dynamics through a synergistic perspective of both space and place. The space-place (splatial) framework proposed in this article will enable us to creatively study the human dynamics in the age of smart technologies. Our approach will not only allow us to better understand human dynamics but also advance and enrich our theoretical and methodological frameworks for studying smart technologies and the profound social impacts from a geographic perspective. Challenges for the implementation of the proposed framework are discussed and directions for future research are highlighted. Key Words: GIScience, human dynamics, place, space, splatial framework.
机译:近年来,通过人工智能,机器学习和新兴数据科学领先的智能技术正在以深刻的方式改变社会的许多方面。其中一个受影响的地区是一般人类动态的经验,特别是智能技术成熟的人类流动性。本文的目标是批判地检查地理学的空间和地点的概念,特别是在地理信息科学(GISCINGS)中,可以开发包含智能空间和智能场所的概念的智能地理信息系统以支持人类动态研究。我们认为,目前关于智能技术的讨论是由于他们对绝对空间和物理的限制概念性限制。通过使用地理和地理和GISCIENCE的智能技术研究,我们寻求超越原油,通常通过合成空间和地点的多个维度来实现空间和空间的简单概念化和概念化。通过这样做,我们可以通过两个空间和地点的协同角度更好地了解人类动态。本文提出的空间(分裂)框架将使我们能够在智能技术时代创造性地研究人类动态。我们的方法不仅允许我们更好地了解人类动态,还可以更好地了解人类动态,而且还要提升并丰富学习智能技术的理论和方法论框架,以及从地理角度来看的深刻社会影响。讨论了实施拟议框架的挑战,并突出了未来研究的指示。关键词:GISCING,人类动态,地方,空间,分裂框架。

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