GEG 3312 Digital Earth Analysis & Modeling
3 crédits
Geographie
Faculte des arts
Many real-world problems, ranging from the effects of climate change on natural and social systems to determining optimal locations for viral inoculation centers, can be addressed by modelling Digital Earth data in Geographic Information Systems (GIS). In this course, you will learn how to model real-world scenarios in GIS workflows that emphasize model validation and error propagation. The course concentrates on formal techniques of cartographic modelling and map algebra via Python coding, to address real-world problems under a multi-criteria decision making framework. Modelling approaches include suitability modeling, fuzzy logic modeling, least-cost modeling, network analysis, proximity analysis, areal interpolation, dasymetric and pycnophylactic modelling and finally geostatistical interpolation techniques. By the end of the course, you will have a diverse and deep geospatial skill-set that is useful and in demand for a range of career opportunities.
Volet:
Laboratoire
Cours magistral
Exigences:
Prerequisite: GEG 2320 . Course with laboratory work.
Terme proposées précédemment:
Automne
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