38/42:376 GIS II: Spatial Data Management and Analysis

Instructor: Lecture, Dr. Dion J. Wiseman
Office: Brodie Room 4-07
Office Hours: Monday, Wednesday, Friday; 11 am – 12 pm; or by Appointment
Phone: 727-9774
Email: wiseman@brandonu.ca

Course Resources

Course Website: https://people.brandonu.ca/wiseman/courses/gis2/

Required Text: Introduction to Geographic Information Systems, 9th ed. 2019, Chang.

Optional Text: Cartography: Thematic Map Design, 6th ed. 2009, Dent, et al.
Note: Copies of both the required and optional texts will be available on reserve in the main library. An earlier edition of either text is also acceptable.

Course Description

This course is designed as an intermediate level GIS course for students who plan to manage and analyze 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 ArcGIS Desktop 10, ArcPro, and various extensions that provide additional functionality.

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).

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.

Grading Scheme

Midterm 25-35%* > 90% A+ 70-72% B-
Final 25-35%* 85-89% A 67-69% C+
Lab Assignments 20% 80-84% A- 63-66% C
Lab Quiz 1 10% 77-79% B+ 60-62% C-
Lab Quiz 2 10% 73-76% B 50-59% D
Bonus (optional) 5% < 50% F
Total 100% * variably weighted

Tentative Course Outline

1. Spatial Data Representation, the Object-based Model and Geodatabases (Geodatabase Demo)

  • Review of Raster /Vector Models
  • Georelational vs. Object-based
  • The Geodatabase Model
  • Subtypes, Topology Rules, Attribute Domains
  • Raster Data Catalogues
  • Terrain Datasets

2. Managing Geospatial Databases (Tables Demo)

  • Functions of a DBMS
  • Tables and Data Relations
  • Types of Relations – Relate vs. Join
  • Attribute-based Operations

3. Exploratory Data Analysis

  • Descriptive Methods
  • Query by Attribute & Location
  • Relational Algebra
  • Boolean Logic
  • Querying Rasters

4. Vector Data Analysis (Simpson’s Vector Demo)

  • Buffers and Setbacks, Applications of
  • Map Overlay: Union vs. Intersection
  • Other Vector Tools

5. Raster Data Analysis (Raster Cougar Demo)

  • Basic Raster Operations
  • Environment Settings Local Operations
  • Local, Focal, Zonal Operations
  • Global Operations

MIDTERM EXAM –  Thursday March 10th

6. Surface Representation & Analysis (Interpolation Demo)

  • TINS vs. DEMS
  • Spatial Interpolation
  • Global vs. Local, Exact vs. Inexact
  • Interpolation Algorithms
  • Kriging and Semivariograms
  • Surfaces and Isolines
  • Density Surfaces

7. Point Pattern Analysis

  • Descriptive Measures
  • Nearest Neighbour
  • Spatial Autocorrelation

8. Network Analysis

  • Components of a Network
  • Creating and Managing Networks
  • Types of Network Analysis

9. Spatial Data Quality

  • What is it and Why do we Care?
  • Measures of Data Quality
  • Metadata

10. GIS Implementation & Management

  • Implementation vs. Management
  • User Centered Approach
  • Implementation Strategies
  • Project Management

FINAL EXAM – Friday, APRIL 22, 2 PM

Tentative Laboratory Schedule

Labs are scheduled Monday & Tuesday afternoons and will be delivered synchronously online.

Date Lab Topic
Jan 17/18 1 Introduction to the Geodatabase Model (ArcGIS Pro)
Jan 24/25 2 Building Geospatial Databases: Import & Construct a Geodatabase
Jan 31/Feb 1 3 Building Geospatial Databases: Attribute Domains & Subtypes
Feb 7/8 4 Building Geospatial Databases: Editing (create & edit features; topology)
Feb 14/15 5 Working with Attribute Data: Query (basic selections; calculate fields); Join
Feb 21/22 NO LAB (Winter Study Break)
Feb 28/Mar 1 QUIZ Timed Lab Quiz #1
Mar 7/8 6 Vector-based Spatial Analysis: Geoprocessing Tools
Mar 14/15 7 Raster-based Spatial Analysis: Spatial Analyst & suitability analysis
Mar 21/22 8 Creating & Analyzing Digital Elevation Models: 3D Analyst; surface analysis
Mar 28/29 9 Analyzing Spatial Patterns: Clustering Tools; Point Pattern Analysis
Apr 4/5 10 Networks: Network Analyst in ArcGIS Pro