空间研究的传统与地理学想象
The tradition of spatial research and geographical imagination
董培海 1赵兴国 1施江义1
作者信息
- 1. 保山学院经济管理学院,保山 678000
- 折叠
摘要
通过系统梳理空间研究的相关成果,立足学科差异视角,本文回溯了哲学、社会学及地理学的空间研究脉络,区分了经验主义、实践主义和批判主义的3条空间研究线索,探讨了空间研究的知识谱系.研究认为,"空间"概念的模糊性,尤其是对这一概念的混用,是当前空间理论研究的一个重大问题.地理学因学科视角的综合性和研究内容的广博性,在空间问题研究中彰显着独树一帜的作用,在人文社会科学研究"空间转向"和地理学研究"社会转向""文化转向"背景下,地理学的探索打破空间研究的单一思维定式,"时间-空间-社会(或属性)"的分析框架也成为地理学阐释地理现象和建构地理秩序最有力的分析工具.通过学科间的交叉和碰撞,地理学的想象力从根本上得以重塑.研究对"空间"进行知识考古学的分析,揭示空间问题研究在本体意义上演化的内在过程和理路,能够为空间问题的跨学科研究建立对话与交流的平台,也为当下地理学学科自省和批判反思提供一种有益的镜鉴.
Abstract
This paper systematically combs the related achievements of space research,based on the differences in disciplinary perspectives,and traces back the space research vein of philoso-phy,sociology,and geography,this paper makes a distinction between empiricism,pragmatism,and criticism,and probes into the knowledge pedigree of space research.The fuzziness of the concept,especially the confusion about the use of the concept of"Space",is an important prob-lem in the study of space theory,in the context of the"Spatial turn"in humanities and social sci-ences and the"Social turn"and the"Cultural Nothing in Common"in geography,the exploration of geography breaks the single thinking pattern of space research,and the analysis frame of"Time-space-society(or attribute)"has become the most powerful analysis tool to explain geo-graphical phenomena and construct geographical order.The imagination of geography is funda-mentally reshaped through the intersection and collision of disciplines.Through the analysis of knowledge archaeology of"space",this study reveals the internal process and logic of the evolu-tion of space research in the ontological sense,which can establish a platform for dialogue and exchange for interdisciplinary research on space problems,and also provide a useful mirror for the self-reflection and critical reflection of the current geography discipline.
关键词
空间研究/向度/地理学想象/时空思维Key words
space research/dimension/geographical imagination/space-time thinking引用本文复制引用
出版年
2024
NETL
NSTL
万方数据