Statistical Problem Solving in Geography
What you'll learn
- perform statistical analysis with geographic data
- understand descriptive and inferential statistics
- correctly interpret statistical results
Requirements
- Students should have some background with basic arithmetic and spreadsheet software
- Students should obtain the book An Introduction to Statistical Problem Solving, although any introductory book on statistics and geography should be fine
Description
Do you struggle with statistics? Do you want to obtain a more quantitative background in the use of statistics in geography, environmental science, and GIS. Or, are you a student who is taking a course in statistics and geography but feel intimidated by the complexities of the subject? No worries. I created this class for you.
This class will walk you through each chapter of my textbook An Introduction to Statistical Problem Solving in Geography, along with the lecture notes I use in my course. It is designed specifically for geographers. So, the course isn't really a math course, but an applied course in statistics for geographers.
You can also think of this course as a personal tutoring session. I will not only go over each chapter, teaching you statistics, but will also work side-by-side with you to use statistical software to recreate examples in the book so that you know how to actually perform the statistical analysis.
At the end of this course you will know how to apply statistics in the field of geography and GIS. And many of my students who were initially intimidated by statistics, find they actually love this subject, and have chosen to refocus their career on quantitative geography.
Who this course is for:
- This course is designed for students taking a general or geography based introductory statistics class
- Students using the textbook An Introduction to Statistical Problem Solving in Geography by McGrew, Lembo, and Monroe
- Geographers and GIS professionals wanting obtain quantitative skills for their daily work
Course content
- Preview17:02
- 17:12Chapter 1: Examples of hypotheses
- 14:12Chapter 2: Geographic Data - Introduction
- 15:26Chapter 2: Data Types
- 17:37Chapter 2: Classification
- 12:17Chapter 2: Classification Map Examples
Instructor
![Arthur Lembo](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.2 Instructor Rating
- 3,361 Reviews
- 12,431 Students
- 19 Courses
Dr. Arthur J. Lembo, Jr. is an educator with a passion for GIS and almost 30 years of GIS industry experience. He has won numerous teaching awards, including the prestigious New York State Chancellors award for Excellence in Teaching (2006), and the Maryland Board of Regents Teaching Award (2018) - both of these awards are the highest awards in academia for both States.
Currently, Dr. Lembo is a Professor in the Department of Geography and Geosciences at Salisbury University, where he is also the Technical Director of the Eastern Shore Regional GIS Cooperative. Dr. Lembo has published numerous academic papers on GIS, authored a leading textbook on Statistical Problem Solving in Geography, and conducted sponsored research for organizations like the National Science Foundation, NASA, the United States Department of Agriculture, and the Kellogg Foundation.