Geographic Information System @ NTNU
Course Content
This course introduces basic concepts and tools of geographic information systems (GIS). Theory and frameworks upon which geographic information science is founded are covered where appropriate to provide a context for applied concepts. Lectures will emphasize basic concepts of design, planning and implementation of GIS as they relate to a variety of fields, while the laboratory component will provide hands-on experience with cutting-edge mainstream GIS software. On successful completion of this course, students should be able to understand fundamental concepts of Geographic Information System, and familiarize the usage of current mainstream GIS software. The course consists of tutorials and laboratory sessions. Tutorials are meant to acquaint students with the fundamental concepts and processes in shaping of the land. In particular, a problem-based approach to understanding the violent earth will be adopted through discussions during tutorials.
Course Intro.
01 :: Course Introduction
Contents: (1) About CCH (2) Course Introduction (3) Grading Policy (4) Why do you need to take this course? (5) What will you learn from this course? (6) Textbook & Software
Intro. to GIS & Overview
02 :: Introduction to GIS & OverviewContents: (1) What is GIS? (2) GIS File Elements (3) Types of GIS (4) Download Geo-Datasets (5) An Overview of ArcGIS Pro (6) References
Coordinate System
03 :: Coordinate System
Content: (1) What is a coordinate system? (2) The shape of the Earth (3) GCS and PCS (4) Latitude and longitude (5) Great Circle (6) Projection (7) Common map projections (8) TWD67TM2 and TWD97TM2 (9) What is vector data? (10) Shapefile structure
Vector Data (I)
04 :: Vector Data (I)
Content: (1) Display XY (2) Join & Spatial Join (3) Add Field & Data Types (4) Select by Attribute (5) Select by Location (6) Calculate Geometry (7) Calculate Field (8) Symbology
Vector Data (II)
05 :: Vector Data (II)
Content: (1) Extract (Clip/Select) (2) Overlay (Union/Intersect/Identity/Erase) (3) Proximity (Buffer/Near/Create Thiessen Polygon) (4) Dissolve (5) Density (Point/Kernel/Line) (6) Polygon To Line/ Join Features/Feature To Point (7) Symbology (8) References
Invited Talk
06 :: Google Engineer Speech
Content: (1) Cognitive Biases (2) Causal Inference and A/B Test (3) Geographic A/B Test (4) Data Scientist Career
Digitalization
07 :: Digitalization
Content: (1) Usage of Digitalization (2) Digitalization Lab
Midterm Exam
08 :: Midterm Exam
Content: Midterm Exam
Spatial Interpolation
09 :: Spatial Interpolation
Content: (1) Gridding (2) MAUP (3) Spatial Interpolation (4) Inverse Distance Weighting (5) Kriging (6) Natural Neighbor (7) Spline (7) References
University Day
10 :: Holiday
Content: Holiday
Spatial Statistics I
11 :: Spatial Clustering
Content: (1) Introduction to Clustering Analysis (2) Density-based Clustering (3) Multivariate Clustering (4) Similarity Search (5) Spatial Outlier Detection (6) Center (Mean/ Median/ Linear Directional) (7) References
Spatial Statistics II
12 :: Spatial Statistics
Content: (1) Average Nearest Neighbor (2) Getis-Ord General G (3) Hot Spot Analysis (4) Incremental Spatial Autocorrelation (5) Ripley’s K Function (6) Global Moran’s I (7) Local Moran’s I (LISA) (8) References
Raster Data
13 :: Raster Data
Content: (1) What is Raster Data? (2) Satellite Images (3) Raster Information (4) Vector & Raster Conversion (5) Map Algebra (6) Contour (7) Layout (8) References
Zonal Statistics
14 :: Zonal Statistics
Content: (1) Math (2) Tabulate Area (3) Zonal Fill (4) Zonal Geometry (5) Zonal Geometry as Table (6) Zonal Histogram (7) Zonal Statistics (8) Zonal Statistics as Table (8) References
Final Exam
16 :: Final Exam
Content: Final Exam