地理学作为地理空间模型的组织语法
Geography as the Organizing Grammar of Geospatial Models
- Plaksha University（普拉克斯哈大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本文提出地理学作为组织语法，连接地理空间模型的完整性与智能，通过七个结构性缺口推进活的地理空间模型，实现可解释、可预测和负责任的决策。
AI中文摘要：
地理空间人工智能（GeoAI）日益产生可重用的地球表征、物理预测、多模态系统和推理智能体。其进展暴露了两个不同的局限性。地理完整性询问所表征的世界是否超越了易于观测的陆地表面和大气场，延伸至海洋、生物地理、经济、制度和人类能动性。地理智能询问模型输出是否保留了地点、尺度、关系、过程、不确定性以及有效推断的边界。前者关注模型中存在什么；后者关注可以负责任地对其做出何种断言。这篇批判性综合综述认为，地理学提供了连接这些维度的组织语法。七个结构性缺口、命题及相应的综述问题将该论点转化为可检验的要求。由此产生的研究议程推进了“活的地理空间模型”，将其作为联邦式、持续更新的系统，通过共享的地理身份、支持、关系、来源和不确定性，耦合专业的地球与人类领域模型。其目标并非单一的通用网络，而是能够解释联系与变化、预见合理未来、并支持跨地点和尺度的负责任决策的地理空间智能。
英文摘要：
GeoAI increasingly produces reusable Earth representation s, physical forecasts, multimodal systems, and reasoning a gents. Their progress exposes two distinct limitations. Geo graphic completeness asks whether the represented world ex tends beyond readily observed land surfaces and atmospher ic fields to oceans, biogeography, economies, institutions, and human agency. Geographic intelligence asks whether model outputs preserve place, scale, relations, process, un certainty, and the limits of valid inference. The first con cerns what exists in a model; the second concerns what may responsibly be claimed about it. This critical integrative review argues that geography provides the organizing gram mar that connects these dimensions. Seven structural gaps, propositions, and corresponding review questions translate the argument into testable requirements. The resulting re search agenda advances Living Geospatial Models as federat ed, continually updated systems that couple specialist Earth and human-domain models through shared geographic iden tity, support, relations, provenance, and uncertainty. The objective is not a single universal network, but geospatial intelligence that can explain connections and change, antic ipate plausible futures, and support accountable decisions across places and scales.
