Provides advanced training in Geographic Information Systems and other geospatial applications for display and analysis of environmental and socio-economic data. Prerequisite: BIS 342.
This course has been structured to provide the student with mid to advanced level training in Geographic Information Systems (GIS) for display and, more importantly, analysis of environmental and socio-economic data. The emphasis will be on raster based GIS (cartographic modelling and map algebra) and spatial statistics. The course will make use of the software ArcGIS version 10 and additional extensions such as Spatial Analyst and Geostatistical Analyst. The student will learn how to work with raster datasets and geodatabases to build spatial models for the analysis of environmental and social data and to evaluate spatial patterns of natural and anthropogenic phenomena.
Student learning goals
Understand the basics of raster analysis and cartographic modeling.
Understand the effects of distance and distance decay when analyzing spatial patterns.
Learn how to detect spatial patterns using vector point and polygon data and raster data.
Learn how to compute and interpret indexes of spatial autocorrelation.
Learn how to analyze spatial data using descriptive spatial tools.
General method of instruction
The lecture notes and the in-class exercise documents will be posted on CANVAS to provide the student with the necessary background to understand the topics covered during lectures. This course will combine lectures on the fundamentals of geographic information science with in-class demos and laboratory exercises based on specific platforms and processes.
BIS342a: Introduction to GIS or equivalent
Class assignments and grading
Exercises (labs) based on lectures will be generally assigned every two weeks. Lab reports are individual and each student is responsible for his/her own work. Students will have the opportunity to work on a personal or group research project. Readings will be assigned from a course textbook and handouts.
Attendance, participation, graded assignments, and examinations will be used to evaluate students performance.