Geographic information retrieval is an interdisciplinary research field concerned with the effective and efficient discovery of digital information based on its geographic relevance. It investigates the theories, methods, and systems required to index, query, and retrieve diverse data types by leveraging their explicit or implicit spatial attributes, integrating principles from information retrieval, geographic information science, and spatial computing. Key characteristics include handling spatial ambiguity, varying levels of geographic granularity, and complex spatial relationships within queries and data, with the significance lying in its capacity to unlock and utilize the spatial dimension of information across numerous scientific and applied domains.