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GIScience (geographic information science) is a scholarly discipline that addresses fundamental issues surrounding the use of a variety of digital technologies to handle geographic information, namely, information about places, activities, and phenomena on and near the surface of the Earth that is stored in maps or images. GIScience includes the existing technologies and research areas of GIS (geographic information systems, or GISystems), cartography (mapmaking), geodesy (measurement of the Earth itself), surveying (measurement of natural and man-made features on the Earth, also called geomatics in the United States), photogrammetry (measurement from photographs or images), global positioning systems (GPS, precise and accurate positioning on the Earth's surface aided by satellites), digital image processing (the handling and analysis of image data), remote sensing (observation of Earth from space or under water), and quantitative spatial analysis and modeling.

GIScience therefore includes questions of spatial data structures, analysis, accuracy, meaning, cognition, visualization, and many more and thus overlaps with the domains of several traditional disciplines that are concerned with Earth's physical processes and how humans interact with the Earth (e.g., geography, geology and geophysics, oceanography, ecology, environmental science, applied mathematics, spatial statistics, physics), as well as disciplines that are concerned with how humans interact with machines (e.g., computer science, information science, cognitive science, cognitive psychology, artificial intelligence). However, GIScience is not central to any of these fields, representing instead a new kind of scientific collaborative that is defined by researchers from many distinct backgrounds working together on particular sets of interrelated problems, problems that are not only scientific in nature but also serve the needs of natural resource management, government, industry, and business.

It is important to make a distinction between GIS and GIScience. While GIS is concerned primarily with the hardware and software for capturing, manipulating, and representing geographic data and information (e.g., as a container of data, maps, and software tools), GIScience is essentially the “science behind GIS” or the “science behind the systems.” It can be defined further as the scientific research that is done both on and with GIS, ranging from the fundamental issues arising from the use of GIS (e.g., how to improve the interface to the system, improve its overall design and usability, or track error through the system) to the systematic study of geographic information using scientific methods (i.e., methods based on issues of scale, accuracy, and quantitative analysis of spatial data) and even to the science that is done with GIS (e.g., the development of spatial models for predicting landslide susceptibility in a region, agent-based models for simulating the actions or interactions of vehicles in a transportation network, or a map, table, or spatial statistic expressing the environmental impacts resulting from the decision to commercially develop a piece of land).

A Brief History of GIScience

The origin of GIScience is traced back to two keynote addresses presented by Michael Goodchild of the University of California at Santa Barbara at conferences in Europe: one titled “Spatial Information Science” (to the Fourth International Symposium on Spatial Data Handling, Zurich, Switzerland, in July 1990) and the other, “Progress on the GIS Research Agenda” (to the Second European GIS Conference, Brussels, Belgium, in April 1991). In both of these keynote addresses, Goodchild challenged the academic GIS community to move beyond a focus primarily on the technical capabilities of GIS to the more substantive intellectual challenges and scientific questions posed by the use of GIS or by the impediments to its use. This fundamental shift would thereby ensure the acceptance and longer-term survival of GIS within broader academia. These important presentations were later published in 1992 in a seminal paper for the International Journal of Geographic Information Systems, a paper that has since defined the field of GIScience. In 1988, a few years prior to Goodchild's presentations in Europe, the National Science Foundation (NSF) awarded a multiyear, multimillion-dollar grant to the University of California at Santa Barbara, the State University of New York at Buffalo, and the University of Maine to form the National Center for Geographic Information and Analysis (NCGIA). This was the first major consortium of academicians formed to define and conduct research in the field, laying the foundation for current and future scholarly inquiry by way of its Initiatives 1–21 on topics ranging from the accuracy of spatial databases to visualization of spatial data quality, to the social implications of GIS, to the multiple roles of GIS in global change research, to collaborative spatial decision making. Following on the success of the NCGIA, but seeking to realign its research, education, and outreach agendas on the more basic, fundamental issues of GIScience, the NCGIA spawned Project Varenius in 1997. Project Varenius focused on several strategic areas of GIScience deemed among the most fruitful for advancing the field in the new context of 21st-century information technology. These strategic areas were cognitive models of geographic space, geographies of the information society (including spatial data infrastructures), and computational implementations of geographic concepts (including overcoming the duality of spatially continuous fields vs. discrete objects). A series of Varenius specialist workshops were held on these topics, generating publications from 1997 to 1999.

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