Search and Rescue operates at the intersection of uncertainty, urgency, and complexity. While search theory provides a robust foundation linking Probability of Area and Probability of Detection to Probability of Success, its practical application is often limited by how the search problem is described. Inconsistent terminology and fragmented representations of the search space can reduce interoperability and hinder effective decision-making. At its core, SAR is concerned with understanding space and place, and with applying the tools required to detect and recognise a subject within that space. This lecture proposes a unifying framework that makes sense of search through two complementary dimensions: Geography and Modality. Geography describes where the search occurs through Domain, Terrain, and Environment. Domain defines the operational context such as maritime, inland, or urban. Terrain captures the physical structure of the landscape. Environment reflects dynamic conditions such as weather, visibility, and vegetation that influence subject behaviour and detectability. Together, these elements provide a consistent way to represent space and place in operational terms. Modality describes how the search is conducted by integrating Sensor, Platform, Mobility, and Pattern. This includes what detects the subject, what carries that capability, how it moves, and how the search is executed. These elements define how searchers perceive, interpret, and interact with the environment in order to achieve detection. Combined, Geography and Modality describe both where the subject may be and how search effort engages with that space. This aligns with search theory while offering a practical way to represent real-world complexity. The framework supports clearer planning, improved interoperability, and more transparent decision-making, enabling SAR practitioners to better understand, communicate, and act within complex search environments.