The University of Minnesota Master of Geographic Information Science (MGIS) Program: A Decade of Experience in Professional Education

Author(s):  
Susanna A. McMaster ◽  
Robert B. McMaster
Author(s):  
Nadine Schuurman ◽  
Jonathan Cinnamon

Geographic information systems (GIS) are the collection of software, hardware, outputs, personnel, and practices that together facilitate the analysis and mapping of geographic entities and phenomena. The field of geographic information science (GIScience) broadly explores the theory and concepts underpinning GIS and related geospatial technologies such as remote sensing and the Global Positioning System (GPS). The technological history of GIS began in the 1960s with the first rudimentary systems developed primarily for storing land information and for basic visualized outputs of geographic entities. As the technology progressed and permeated throughout the private sector, government, and academia—especially during the latter half of the 1980s and early 1990s—a growing cadre of scholars began to examine theoretical, conceptual, and intellectual questions related to the technology, in the process creating a new science of geographic information. Michael Goodchild, a geography professor at the University of California at Santa Barbara, made the first description of this area of inquiry during the 1990 Spatial Data Handling conference. Goodchild subsequently published what became an agenda-setting paper in 1992 (Goodchild 1992, cited under General Overviews) outlining a justification for this focus, which was both influential and widely accepted. GIScience draws on numerous knowledge domains, including computer science, visualization, information technology, artificial intelligence, and cognitive science to create a theoretical basis for GIS. As a relatively new field of intellectual inquiry, GIScience has developed a body of knowledge with remarkable breadth and depth. GIScientists explore diverse issues including spatial data acquisition and quality, representation and visualization; the development of database and operational standards; scale, spatial analysis/statistics, and geocomputation; and the relationship between GIS technology and society. The topic areas chosen for this article largely reflect the consensus of the GIScience academy regarding the core themes of inquiry in this field, as discussed in the General Overviews section. Further, references to current trajectories and future directions for GIScience are scattered throughout this article.


2011 ◽  
Vol 2 (2) ◽  
pp. 33-38
Author(s):  
Rick Bunch ◽  
Anna Tapp ◽  
Prasad Pathak

The Center for Geographic Information Science (CGISc) at the University of North Carolina Greensboro (UNCG) was established in the Summer of 2006. CGISc is an educational research entity that relies on the use of GIS and the science of geographic information to conduct research on human and natural phenomena distributed on the Earth’s surface. CGISc welcomes interdisciplinary collaboration, and emphasizes the development of public-private sector partnerships. CGISc also places a high priority on research that involves students. This paper first provides an overview of the CGISc. This section is followed by a discussion on the fundamental approach to conducting geographic research using GIS. The paper concludes with several significant projects and a discussion on future directions.


2018 ◽  
Vol 7 (9) ◽  
pp. 364 ◽  
Author(s):  
Helena Merschdorf ◽  
Thomas Blaschke

Although place-based investigations into human phenomena have been widely conducted in the social sciences over the last decades, this notion has only recently transgressed into Geographic Information Science (GIScience). Such a place-based GIS comprises research from computational place modeling on one end of the spectrum, to purely theoretical discussions on the other end. Central to all research that is concerned with place-based GIS is the notion of placing the individual at the center of the investigation, in order to assess human-environment relationships. This requires the formalization of place, which poses a number of challenges. The first challenge is unambiguously defining place, to subsequently be able to translate it into binary code, which computers and geographic information systems can handle. This formalization poses the next challenge, due to the inherent vagueness and subjectivity of human data. The last challenge is ensuring the transferability of results, requiring large samples of subjective data. In this paper, we re-examine the meaning of place in GIScience from a 2018 perspective, determine what is special about place, and how place is handled both in GIScience and in neighboring disciplines. We, therefore, adopt the view that space is a purely geographic notion, reflecting the dimensions of height, depth, and width in which all things occur and move, while place reflects the subjective human perception of segments of space based on context and experience. Our main research questions are whether place is or should be a significant (sub)topic in GIScience, whether it can be adequately addressed and handled with established GIScience methods, and, if not, which other disciplines must be considered to sufficiently account for place-based analyses. Our aim is to conflate findings from a vast and dynamic field in an attempt to position place-based GIS within the broader framework of GIScience.


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