- cswu@uwm.edu
- 414-229-4860
- Bolton Hall 482
- https://sites.uwm.edu/cswu/
- CV
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.