What is Geographic Information Science?
Geographic Information Science (GIScience) emerged in the 1990s alongside the rapid growth of Geographic Information Systems (GIS), but from the beginning its identity was uncertain. Is GIScience simply the use of GIS software? Is it the development of new tools? Or is it a scientific field with its own objects of study, theories, and research questions?
When it was founded in 1995, The University Consortium for Geographic Information Science (UCGIS) identified its core mission with GIScience:
The University Consortium for Geographic Information Science is dedicated to the development and use of theories, methods, technology, and data for understanding geographic processes, relationships, and patterns. The transformation of geographic data into useful information is central to geographic information science.”
Another definition of GIScience was also provided in a workshop held by the United States National Science Foundation in January 1999.
Geographic Information Science (GIScience) is the basic research field that seeks to redefine geographic concepts and their use in the context of geographic information systems. GIScience also examines the impacts of GIS on individuals and society, and the influences of society on GIS. GIScience re-examines some of the most fundamental themes in traditional spatially oriented fields such as geography, cartography, and geodesy, while incorporating more recent developments in cognitive and information science.
A year later, Mark (2000) synthesized these statements and argued that GIScience is a legitimate scientific field with a coherent intellectual core, distinct from both GIS as a tool and from geography as a disciplinary tradition. Stated simply:
- Using GIS in research does not automatically constitute GIScience
- GIScience focuses on the foundations of geographic information, not on applications alone
History of GIScience
Mark distinguishes between the history of GIS systems and the history of GIScience as a research field, and identified the following key moments:
- NCGIA (1988), which articulated early research problems in spatial analysis, data structures, visualization, and social implications
- Goodchild (1990–1992), who named GIScience but emphasized research topics rather than definitions
- UCGIS (1990s), which formalized research priorities and institutionalized GIScience
- Project Varenius, which proposed a framework linking cognition, computation, and society
Components of GIScience
One way to attempt to capture the nature of the field of GIScience is to list its many components. These components describe what GIScientsts study, rather than how they apply GIS (Figure 1).
Ontology is a branch of philosophy that deals with the most fundamental aspects of scientific inquiry at a very high level of abstraction. This part of GIScience examines the georgaphic information and geographic concepts that are used by environmental and social scientists in their research. It has also been used in information science and knowledge representation to refer to the specifications of the conceptualizations employed by different groups of users.
Computation concerns the algorithmic and formal foundations that make geographic information analyzable in digital systems. It covers how spatial relations, objects, and processes are represented, calculated, and searched within finite-precision computing environments. This includes qualitative spatial reasoning frameworks, computational geometry, spatial indexing and retrieval methods, spatial statistics, and other geocomputational approaches such as map algebra and cellular automata.
Cognition focuses on how humans perceive, conceptualize, reason about, and interact with geographic space and geographic information. It draws on psychology, cognitive science, and linguistics to study human understanding of spatial concepts such as distance, direction, regions, and relationships, often emphasizing qualitative and context-dependent reasoning rather than precise metrics. This component aßlso includes research on human–computer interaction and GIS usability,
Applications & Institutions examines how geographic information is acquired, evaluated, and used within social, institutional, and political contexts. It includes research on data acquisition technologies, data quality, error, and uncertainty, as well as spatial analysis methods and their limitations. Beyond technical concerns, it addresses the societal impacts of GIS, including issues of governance, equity, power, commercialization, and public participation.
Cross-cutting Research Themes refer to fundamental issues that permeate all areas of GIScience rather than belonging to a single component. Time and scale are especially central, influencing how geographic phenomena are represented, analyzed, and interpreted. Temporal dynamics challenge traditional GIS representations that separate space and time, while scale affects geometry, data quality, spatial analysis, and cognitive interpretation.
Reference:
Mark, D. M. (2000). Geographic information science: Defining the field. In J. P. Wilson & J. C. Fotheringham (Eds.),The handbook of geographic information science(pp. 3–18). Oxford: Blackwell Publishers.