Abstract: 【Purpose/significance】Build a spatial model for network public opinion data on sudden public events, achieve precise gov⁃ ernance of network public opinion on sudden public events, and improve the governance system for network public opinion on sudden public events.【Method/process】Build data space for public opinion on unexpected events, including data dimensions, subject dimen⁃ sions, and service dimensions. Ensure effective management of public opinion data resources for unexpected events and clarify spatial governance strategies for public opinion data on unexpected events.【Result/conclusion】The data space model can provide guidance for the in-depth and multi-dimensional development of online public opinion research, and can also provide online public opinion gov⁃ ernance tools for public opinion management departments from a practical perspective.【Innovation/limitation】Only theoretically con⁃ structing a spatial model for network public opinion data on sudden public events, without using real network data for verification.