【目的/意義】科學準確地對時空范疇的輿情演化態勢做出研判是及時防范風險事件、完善危機治理手段的重要前提。【方法/過程】本文核心在于建構一套基于空間可視化理論和技術的大數據輿情研判體系,該體系以空間行動視角的互動理論作為基礎支撐,利用空間分析技術,抓取海量附加位置標簽的輿情信息,存儲為短期專項數據庫和長期綜合數據庫,將時空擬合的計算模型結果映射到可視化輿情監測平臺,實現研判過程中的輿情事件空間可視化。【結果/結論】以期彌補輿情研判的靜態處置缺陷,最終達到有效輔助政府決策的目的。

【Purpose/significance】Scientifically and accurately researching and judging the time and space evolution of public opinion is an important prerequisite for timely prevention of risk events and improvement of crisis management methods.【Method/process】The core of this paper is to construct a set of big data public opinion judgment system based on spatial visualization theory and technology. The system is based on the interactive theory of spatial action perspective. It uses spatial analysis technology to capture the public opinion information of massive additional location tags, and store it as a special database for short-term goals and a comprehensive database targeting long-term deployment. The results of the time-space fitting calculation model are mapped to the visual public opinion monitoring platform to realize the visualization of the public opinion event space in the process of research and judgment.【Result/conclusion】In order to make up for the static disposal defects of the public opinion judgment, and finally achieve the purpose of effectively supporting the government’s decision-making.