201 Lectures

(all lectures here are PowerPoint files;
download to disk and open them from disk)

Lecture 01 – Introduction (nothing on the nature of data)

Lecture 02 – The computing environment of the geography department

Lecture 03 – Data measurements and data errors

Lecture 04 – The nature of spatial data

Lecture 05 – Storing spatial data

Lecture 06 – Map projections

– Additional material on datums, projections, and coordinate systems

Lecture 07 – Surveying and digitizing

Lecture 08 – Global Positioning System

Lecture 09 – Remote sensing

Lecture 10 – Secondary data

- Additional information on US Census

Lecture 11 – Organizing and presenting data

Lecture 12 – Introduction to descriptive statistics

Lecture 13 – Midterm review (no link)

Lecture 14 – Midterm review (no link)

Lecture 13a – Probabilities

Lecture 13b – Introduction to R

Lecture 14 – Probabilities II - Normal and Poisson distribution

Lecture 15 – Estimation in samples

Lecture 16 – Hypothesis testing; parametric vs. non-parametric statistics

Lecture 17 – Bivariate statistics

Lecture 18 – Correlation and regression

Lecture 19 – Map design

Lecture 20 – Cartographic communication

Lecture 21 – Review session