{"id":17,"date":"2013-09-06T01:09:10","date_gmt":"2013-09-06T06:09:10","guid":{"rendered":"http:\/\/mancini.brandonu.ca\/wiseman-courses\/gis2\/"},"modified":"2026-04-08T13:45:24","modified_gmt":"2026-04-08T18:45:24","slug":"gis2","status":"publish","type":"page","link":"https:\/\/people.brandonu.ca\/wiseman\/courses\/gis2\/","title":{"rendered":"38\/42:376 GIS II: Spatial Data Management and Analysis"},"content":{"rendered":"

Instructor:<\/strong> Lecture, Dr. Dion J. Wiseman
\nOffice:<\/strong> Brodie Room 4-07
\nOffice Hours:<\/strong> Monday, Wednesday, Friday; 11:30 am – 12:30 pm; or by Appointment
\nPhone:<\/strong> 727-9774
\nEmail:<\/strong> wiseman@brandonu.ca<\/a><\/p>\n

Course\u00a0Resources<\/h2>\n

Required Text:<\/strong> Introduction to Geographic Information Systems, 9th ed. 2019, Chang.
\nOptional Text:<\/strong>\u00a0Cartography: Thematic Map Design, 6th ed. 2009, Dent, et al.
\nNote: Copies of both the required and optional texts are available on reserve in the main library. An earlier edition of either text is also acceptable.<\/p>\n

Course Description<\/h2>\n

This course is designed as an intermediate level GIS course for students who plan to manage and\/or analyse geospatial databases in their chosen field of study or future careers. The objectives are to provide you with a solid theoretical and applied background in geospatial database management and geospatial data analysis that transcends any particular software application. The lecture component of the course will focus on theoretical concepts related to building and managing geospatial databases and conducting geospatial analysis by addressing the lecture topics outlined below. The lab component of the course will provide practical experience with ESRI ArcPro, and the various extensions that provide additional functionality.<\/p>\n

By the end of this course you will have acquired the theoretical background and applied skills to work as a GIS technician and pursue advanced training in specific applications of GIS (e.g. network, weighted overlay, or hydrologic analysis, etc.) and technologies for collecting and creating geospatial data (e.g. Total Station, RTK GPS, RPAS).<\/p>\n

The prerequisite for this course is GIS I (38\/42:286). Additional readings and\/or assignments may be required for those who have not completed the prerequisite. Note that this course is one of two prerequisite for 38\/42:477\/677 Advanced Geomatics; the other is 38\/42:353 Remote Sensing.<\/p>\n

Grading Scheme<\/h2>\n\n\n\n\n\n\n\n\n\n
Midterm<\/td>\n25-35%*<\/td>\n> 90%<\/td>\nA+<\/td>\n70 \u2013 72%<\/td>\nB-<\/td>\n<\/tr>\n
Final<\/td>\n25-35%*<\/td>\n85 \u2013 89%<\/td>\nA<\/td>\n67 \u2013 69%<\/td>\nC+<\/td>\n<\/tr>\n
Lab Assignments<\/td>\n20%<\/td>\n80 \u2013 84%<\/td>\nA-<\/td>\n63 \u2013 66%<\/td>\nC<\/td>\n<\/tr>\n
Lab Quizzes (x4)<\/td>\n20%<\/td>\n77 \u2013 79%<\/td>\nB+<\/td>\n60 \u2013 62%<\/td>\nC-<\/td>\n<\/tr>\n
Total<\/td>\n100%<\/td>\n73 \u2013 76%<\/td>\nB<\/td>\n50 \u2013 59%<\/td>\nD<\/td>\n<\/tr>\n
Optional Bonus<\/td>\n3%<\/td>\n<\/td>\n<\/td>\n< 50%<\/td>\nF<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n* variably weighted<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Tentative Course Outline<\/h2>\n
    \n
  1. Spatial Data Representation, the Object-based Model, and Geodatabases\n