This course introduces you to core environmental datasets spanning weather, ecology, and satellite imagery data sources, which are routinely used to support environmental metrics and decision-making in the food and resource sector. It provides hands-on experience with data extraction, processing and analysis techniques, as well as visualization tools, which are particularly adapted to dealing with the complexities of each environmental data type. The programming languages covered are R and Python, as well as some JavaScript for Google Earth Engine. This course is not eligible for Credit/D/Fail grading.

Estimating causal relationships in natural resource economics; applied data analysis; econometrics; counterfactual thinking, and applications to the economics of: natural resource conservation, species loss and extraction, protected areas, international trade of wildlife products, and endangered species legislation. Prerequisite: One of LFS_V 252, STAT_V 200, BIOL_V 300, ECON_V 325, COMM_V 291, FRST_V 231 and one of ECON_V 101, ECON_V 310, FRST_V 101, LFS_V 101.

Roles of government and business in the Canadian economy, emphasizing interactions with the environment and society, including Indigenous communities. Ethical foundations of government, business and personal decision-making. This course is not eligible for Credit/D/Fail grading. Prerequisite: One of COMM 295, ECON 301. Equivalency: COMM 394

Characteristics, processes and sources of economic growth, role of agricultural and resource sectors in economic growth, analysis of output and input markets in those sectors, policy failures, tools for empirical analysis of rural markets, growth, and the environment. Prerequisite: One of ECON_V 101, ECON_V 310, FRST_V 101, LFS_V 101.

Analytical methods in forest hydrology and their applications in the planning of forest operations with a focus on the hydrologic and hydraulic design procedures for stream crossings. [3-2] Corequisite: FOPR 264.