Here is what actually happened.
Date | Topic | Notes, Reading, Assignments |
Jan 26 | Introduction to GIS. What is GIS? Applications of GIS. GIS and
Computer Science. Intro to C programming
language.
C: Input/output, loops, functions, call by value. |
L1.ppt. Chapter 1 K&R |
Jan 29 | Geographic data representation. Rasters, TINs, contour lines.
C: Pointers. |
|
Febr 3 | C: Pointers. Pointer arithmetic. Command line arguments. Header files. | Assignment 1 (Doubly linked list with dummy head ddlist) |
Febr 5 | C: Dummy header doubly linked lists. scanf(). File I/O. Makefiles.
Flow modeling on grid DEMs. |
Assignment 2 (grid multiply). Flow.ppt |
Febr 10 | Unix tutorial.
C: Makefiles. OpenGL--basics. |
Unix tutorial, The Red Book, Assignment 3 (OpenGL warmup) |
Febr 12 | Assignment 3 demo.
C:Makefiles. OpenGL--basics. |
Assignment 4 (2D terrain rendering) |
Febr 17 | OpenGL: Transformations (rotation, translation).
Flow modeling: flat areas. |
Chapter 3(Viewing), Appendix G (Homog coord and transf. matrices) |
Febr 19 | Assignment 4 demo.
OpenGL: Transformations (rotation, translation, scaling) and homogenous coordinates. |
Assignment 5 (3D terrain rendering) |
Febr 24 | OpenGL: Order of transformations.
Flow modeling: flat areas. |
|
Febr 26 | Assignment 5 demo.
Flow modeling: Flat areas and flooding. |
Assignment 6 (Flow modeling) |
March 2 | Flow modeling: Flow accumulation. | Project 1: Flow modeling on grid DEMs |
March 4 | Flow modeling: Flooding. | Flooding |
March 9 | Line simplification. Douglas-Peucker algorithm. Improvement to O(n lg n).
Imai-Iri algorithm. |
Speeding Up the Douglas-Peucker Line-Simplification Algorithm(Hershberger, Snoeyink) |
March 11 | Project 1 demo. | Fast Polygonal Approximation of terrain and height fields (M. Garland and P. Heckbert) |
March 16, 18, 23, 25 | Spring break!! | |
March 30 | Imai-Iri algorithm. Improvement to O(n2).
Grid-to-TIN transformation. Terrain simplification. |
Project 2: Terrain simplification |
April 1 | Terrain simplification. Incremental refinemement and possible optimizations. Worst-case and average case analysis. | |
April 6 | Terrain simplification. Decimation. Data structures for triangulation. | |
April 8 | Dealing with very large data. Motivation. Scalability of algorithms to massive data. Experiments. RAM model limitations. The I/O-model. Analysis of flow direction and flow accumulation algorithms. | |
April 13 | I/O-efficient sorting.
I/O-efficient priority queue. I/O-efficient flow accumulation. |
|
April 15 | Project 2 demo [race and party]. | |
April 20 | Riccardo Schmid and Phillippe Alepin:
Orthogonal range searching in 1D and 2D. The quadtree The kd-tree. |
Demos:
Point Quadtree PR quad tree Kd-tree Construction of 2D kd-tree |
April 22 | Wyatt Dumas and Greydon Foil: Line-segment intersection - the Bentley-Ottmann sweep. |
Lecture notes (M. Schmid)
Demos: demo 1 | demo 2 |
April 27 | Pat Donahue and Somboon Chiewcharnpipat:
From point sample to TIN: The Delaunay triangulation. Properties. Algorithms. |
|
April 29 | Nick Troy and Richard Hoang:
Computing contour lines on TINs. Brute force method. The interval tree. |
Efficient methods for isoline extraction from a TIN M. van Kreveld. Int. J. of GIS, 10:523--540, 1996 |
May 4 | Visit DeLorme | |
May 6 | Jon Todd, Brendan Dickinson and Nick Powell:
Computing the convex hull of a point set in 2D. The brute-force method. Gift wrapping. Quickhull. Graham's scan. Lower bound. |
|
May 11 | [Grad school] | Choosing a grad school
Who wants to be a Ph.D? GRE general | Practice test GRE subject |
May 21 | Final exam: project demo (9-12, Linux Lab) |