Changshan Wu

  • Professor, Geography

Education

  • PhD, Geography, The Ohio State University, 2003
  • MS, Institute of Remote Sensing Applications, Chinese Academy of Sciences
  • 1999 BS, Urban and Environmental Sciense, Peking University, China, 1995

Office Hours

M 11:00 am – 12:00 pm

Teaching Schedule

Course Num Title Meets
GEOG 215-402 Introduction to Geographic Information Science TR 10:30am-11:20am
GEOG 215-801 Introduction to Geographic Information Science T 11:30am-1:20pm
GEOG 215-802 Introduction to Geographic Information Science W 11:30am-1:20pm
GEOG 547-401 Spatial Analysis TR 1pm-2:15pm
GEOG 547-802 Spatial Analysis F 11:30am-1:20pm
GEOG 698-001 GIS/Cartography Internship No Meeting Pattern
GEOG 747-401 Spatial Analysis TR 1pm-2:15pm
GEOG 747-802 Spatial Analysis F 11:30am-1:20pm

Courses Taught

  • Geog 403 – Remote Sensing: Environmental and Land Use Analysis
  • Geog 430 – Geography of Transportation
  • Geog 525 – Geographic Information Science
  • Geog 547 – Spatial Analysis
  • Geog 625 – Intermediate Geographic Information Science
  • Geog 725 – Advanced Geographic Information Science: Geographic Modeling
  • Geog 750 – Remote Sensing and Urban Analysis

Research Interests

Professor Wu is a broadly trained geographer with substantive interests in remote sensing, geographic information science, spatial analysis, and their applications in urban environments. His research focuses on two aspects:

  • Remote sensing image analysis and applications, especially for urban impervious surface and population estimation, as well as urban growth modeling
  • Spatial analysis and modeling, and their applications in housing market analysis, public health, and transportation studies.

One emphasis of his research is to develop innovative methods for better extracting urban biophysical and socio-economic information, and applying the derived information for planning and management of urban and natural environments. His research in the urban remote sensing field includes:

  • Urban imperviousness estimation, in particular using the spectral mixture analysis method
  • Small area population interpolation and estimation using high-resolution remote sensing and GIS dataset
  • Urban growth monitoring and modeling using spatial modeling techniques

In addition to remote sensing and urban analysishis other research area involves GIS and spatial modeling (spatial optimization, spatial statistics, etc.) and their applications in housing market analysis, public health, and transportation studies.

Selected Publications

Choi, W. , Pan, F. , & Wu, C. (2017) Impacts of climate change and urban growth on the flow characteristics of the Milwaukee River (Wisconsin, USA).Regional Environmental Change, 17(3), 889-899.

UWM Land Acknowledgement: We acknowledge in Milwaukee that we are on traditional Potawatomi, Ho-Chunk and Menominee homeland along the southwest shores of Michigami, North America’s largest system of freshwater lakes, where the Milwaukee, Menominee and Kinnickinnic rivers meet and the people of Wisconsin’s sovereign Anishinaabe, Ho-Chunk, Menominee, Oneida and Mohican nations remain present.   |   To learn more, visit the Electa Quinney Institute website.