University of Colorado at Boulder

Dept Theme

Geographic Information Science


GIS, cartography, and remote sensing

Geographers have an ongoing concern with the acquisition, manipulation, and representation of spatial data. The widespread adoption of digital technology coupled with management of very large spatial data sets has led to the development of Geographic Information Science. Particularly with respect to digital information, the nature of geographical data that vary with scale, time, and spectral characteristics presents unique problems for geographers and environmental scientists. In our world of massive amounts of information, geographers use remote sensing methods for collecting and integrating geographical data. They utilize cartography and geographic information systems to uncover spatial patterns and trends, to reconstruct past environmental conditions and to predict future scenarios. The use of such methods requires expertise not covered in human and physical geography concentrations. Conceptually, the societal, political and ethical implications of geographic information in policy and decision-making are only beginning to be understood, and this forms an important component of study in geographic information science. The dissemination of geographic knowledge at all levels of education forms another important component of this concentration.

Faculty teaching and/or performing research in Geographic Information Science

Barbara
Buttenfield
GIS; Cartographic Generalization; Multi-Scale Databases
Ken
Erickson
GIS Emeritus
Carson
Farmer
Spatial-Temporal Dynamics, Computational GIScience, Spatial Interactions, Transportation
Kenneth
Foote
American & European Landscape History; GIScience & Internet Techniques; Geography in Higher Educ, Emeritus
Stefan
Leyk
GIScience, uncertainty modeling, small area estimation, cartographic pattern recognition
Seth
Spielman
Urban Geography, Medical Geography, Spatial Statistics, GIScience

Graduate Students in Geographic Information Science

11 students total. TIP: To sort by more than one column, hold down the shift key while clicking an additional column header.

Name Degree     Specialties
Charisoulis, Georgios Ph.D. GIS, Environmenal Law & Energy/Sustainability
Cunningham, Angela Ph.D. landscape and historiography
Ghandehari, Mehran Ph.D. GIScience
Hardin, Andrew M.A. remote sensing; GIS; programming
Lewis, Nicholas M.A. Remote Sensing, Arctic Environment
Morrissey, Martha M.A. GIS, Spatial Data Science
Norlund, Petra Ph.D. Geographic Information Science
Stum, Alexander Ph.D. spatial predictive model, GIS
Tuccillo, Joseph Ph.D. Urban Geography, Spatial Demography, Hazards/Vulnerability, Geocomputation
Uhl, Johannes Ph.D. GIS, spatio-temporal modelling, machine learning
Zoraghein, Hamidreza Ph.D. GIScience; spatial statistics; small area estimation

News and Events related to Geographic Information Science

Selected Publications by Faculty and Graduate Students associated with Geographic Information Science

Faculty

 Stefan Leyk

 Seth Spielman

Spielman, S.E. and Folch, D.F. (2015). Reducing Uncertainty in the American Community Survey through Data-Driven Regionalization. . PLOSOne (http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0115626).

Spielman, S.E. and Singleton, A. S. (2015). Studying Neighborhoods with Uncertain Data From the American Community Survey. Annals of the Association of American Geographers. Annals of the Association of American Geographers (http://www.tandfonline.com/doi/full/10.1080/00045608.2015.1052335) .

Wood, N., Jones, J., Spielman, S.E., Schmidtlein, M. (2015). Community clusters of tsunami vulnerability in the U.S. Pacific Northwest. Proceedings of the National Academy of Science (http://www.pnas.org/content/112/17/5354.abstract) .

Spielman, S.E. Cartography and Geographic Information Science (CaGIS). (2014). Spatial Collective Intelligence? credibility, accuracy, and Volunteered Geographic Information. Cartography and Geographic Information Science (CaGIS). doi:10.1080/15230406.2013.874200

Spielman, S.E., Folch, D., Nagle, N. (2014). Patterns and Causes of Uncertainty in the American Community Survey. . Applied Geography (replication data and code) (http://www.sciencedirect.com/science/article/pii/S0143622813002518).


Grad Students