The overall objective of this course is to further strengthen the knowledge on GIS and introduce digital mapping based on previous knowledge on surveying and mapping, and GIS. Particularly, the successful completion of this course will enable students
·
comprehend
knowledge of geographic data
· integrate data collected from different sources
· use popular GIS software to design and produce maps
· use popular GIS software to conduct GIS analyses
A.
Scope
and objectives
The course intends to enhance students’ fundamental
knowledge and advanced skills in geospatial science and technology. It will be
focused on quantitatively exploring and evaluating the patterns of both
physical and social phenomena in spatial and temporal domains. Students will learn the analytics needed for
mining and interpreting geospatial data of various forms and practice such
analytics through designed course projects. Besides, the course will provide
each student an opportunity to apply the course content to a topic area of
their own interest. By successfully completing the course, students should be
able to
1) understand
the theories and context of spatial modeling and analysis
2) choose
proper geospatial analysis methods and practice them
3) model and
interpret geospatial patterns
4) be familiar
with popular geospatial analysis tools
B.
Prerequisites
1) an
introductory GIS course, preferably at graduate level
2) graduate
status
3) being
familiar with ArcGIS and its extensions
4) having
experience in programming
5) or under
consent of the instructor
C.
Contents
I.
Theoretic aspects
1) Spatial relationships 2) Point
clustering and pattern analysis
3) Proximity mapping and
analysis 4) Spatial
tessellation
5) Surface interpolation and
modeling 6) Spatial dependence and
autocorrelation
7) Spatial regression 8)
Spatial-temporal distribution and process
II.
Application aspects
1) Geoinformatics and
Earth science 2) Geography and anthropology
3) Environmental and hydrographic sciences 4) Social
network and human mobility
5) Transportation and construction 6) Natural resource management
7) Public health and disaster management
III.
Tool aspects
1) ArcGIS and
its extensions
2) ArcGIS
development with ModelBuilder and Python scripts
3) Open source
statistics tool R
4) Matlab
IV.
Data aspects: open source or publically
available geographic data, including
imagery, digital elevation model, roads,
administration, demography, disaster, agriculture, land cover etc.
D.
Venue
and Time
·
HAMP 1113
·
4:30-5:20pm, MWF, Fall 2015
Note: This
course is offered in EVEN years for off-campus students. Off-campus students
should visit https://engineering.purdue.edu/ProEd/
for registration. It is offered every
year for on-campus students.
It covers basic GIS theory and practices as well as
advanced topics for enhancement. ArcGIS and its extensions will be discussed in
depth and used extensively. The course will address the following topics:
· Earth Observation Systems
· Electromagnetic radiation
· Platforms and sensors
· Representative systems
· Image processing
· Image correction
· Image enhancement
· Image classification
· Image fusion
· Example applications
· Land cover mapping
· Disaster mapping
· Urban mapping
· Urban sprawl modeling
Download the course flyer here (pdf, with graphics)