"But the power of instruction is seldom of much efficacy except in those happy dispositions where it is almost superfluous."
-- Gibbon; The Decline And Fall Of The Roman Empire Ch. IV Part 1
Here are some lecture notes, presentations, exercises, and technical notes that I've written for teaching, along with some related links. I hope they're useful, but please read the disclaimer.
Reader for a module on research skills, used in the UT/ITC MSc course in Enschede and at partner institutions
Three assignments to test reseach skills
Versión en Español de algunas partes del anterior, adaptada a condiciones Bolivianas (con Ronaldo Vargas)
Make a good impression and stand out from the crowd; especially for Chinese speakers
A classic common-sense approach to writing and presenting for technical workers such as engineers and research scientists.
By Tom Hengl and Michael Gould, the result of an ITC writing workshop
By Alfred E Hartemink (ISRIC). Especially recommended: Part 3: Fraud and Ethics (49 Kb)
From the International Committee of Medical Journal Editors (ICMJE). Includes rules for listing authors and reporting statistics. This page has links to other important policy items, such as conflict of interest.
Includes guidelines for classroom copying, fair use, and a good discussion of current issues in scholarly communication.
from Jeff Radel of Kansas State University (USA)..
from John Wilkins at Ohio State University. A complete course with lots of useful links and examples
includes Columbia Encyclopedia, American Heritage Dictionary, Roget's Thesaurus, Quotations, Usage, Oxford, ...
Lots of useful information for the advanced learner.
from the National Physical Laboratory (UK)
The way I use LaTeX, R and knitr for reproducible data analysis.
By Prof. Tony Roberts, Univ. S Queensland; a good explanation of why LaTeX
A fun and easy way to see how do lots of things in LaTeX
Web authoring standards
outdated but maybe useful
From a course I gave Cornell University in 1993 and 1994; somewhat outdated but still useful.
Introductory lecture; includes a list of resources for learning R
Brief introduction to the sp and gstat packages
Comprehensive data analysis of a multivariate soils dataset, tutorial analysis of the Mercer-Hall wheat yield dataset, co-kriging using gstat, accuracy assesment of thematic maps, analyzing land cover change with logistic regression, optimal partitioning of soil transects, fitting rational functions to time series
Download, modify as necessary in a text editor, save to a .R file, and source() them; or you can paste the code directly into the R command line.
These all use the R environment for statistical computing; I have written an introduction and several technical notes for this environment.
1. Correlation; 2. Simple linear regression; 3. Model validation; 4. Structural analysis; 5. Multiple linear regression; 6. Regression trees and random forests; 7. Factor analysis (Principal Components Analysis); 8. Robust methods
Two practical exercises (non-spatial, spatial) using R, for UT/ITC MSc students in the AES course.
Non-spatial exercises use engineering soils properties, spatial exercises use Davis' Kansas aquifer elevation. (ZIP, 2.9 Mb).
Last updated January 2013 (last time I gave the module at ITC).
"This note is written for those who want to build a GIS of a relatively small project area for purposes of natural resources inventory, monitoring, and management. All such GIS should, if at all possible, include: (1) a base map, often referred to as a topographic map; (2) an airphoto mosaic; (3) thematic maps, i.e. polygon, segment, or point maps from air photo interpretation. (4) a multispectral satellite image and its products such as false-colour composites; All of these must be geo-referenced and geometrically-corrected in a common coordinate system."
Somewhat outdated but might be a starting point.
Spanish version of the preceding; translated, adapted and expanded by Ronald Vargas
|Author: D.G. Rossiter||
|E-Mail: dgr2 (at) cornell.edu||Last modified: Sat Sep 3 10:47:45 CST 2016|