地理学与神经科学均核心关注人类在空间环境中的行为理解，但跨学科合作常受限于方法论与认识论假设的差异。为弥合这一鸿沟，我们提出认知神经科学中空间加工模型与地理空间表征之间的一种转化性联结。基于大脑预测潜在未来状态这一长期理论，预测地图假说（predictive map hypothesis）指出：空间中的位置依据其与未来可能位置的关联性而被编码。本文将该假说的一种形式化实现——后继表征（successor representation, SR）——适配至城市空间，由此构建出地理后继表征（geographic successor representation, gSR）。我们证明，这一关于地理表征的认知模型不仅能生成城市空间中若干引人注目的独特特征，且仍与大脑空间加工机制高度一致。我们概述了若干拓展该工作的有前景方向，并提出：gSR及其变体或可提供支持地理学与神经科学研究更深层次整合的空间表征。

Geography and neuroscience share a core interest in understanding human behaviour in spatial environments. Yet, interdisciplinary collaboration is often limited by differences in methodology and epistemological assumptions. To help bridge this divide, we introduce a translational link between cognitive models of spatial processing in neuroscience and representations of geographic space. Building on long-standing theories that the brain predicts possible futures, the predictive map hypothesis suggests that locations in space are encoded according to their association with possible locations in the future. Here, we adapt a formal instantiation of this idea, the successor representation (SR), to urban space resulting in the geographic successor representation (gSR). We show that this cognitive model of geographic representation produces compelling unique features of urban space while remaining closely aligned with brain mechanisms of spatial processing. We outline several promising directions for extending this work, and propose that the gSR and its variants may provide spatial representations capable of supporting deeper integration between geographic and neuroscientific research.