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30-Day Money-Back Guarantee

This course includes:

  • 11.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
Teaching & Academics Math Geography

Statistical Problem Solving in Geography

A college level course on how to apply statistics in geography, GIS and environmental science
Bestseller
Rating: 4.5 out of 54.5 (253 ratings)
1,569 students
Created by Arthur Lembo
Last updated 8/2020
English
English [Auto]
30-Day Money-Back Guarantee

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

6 sections • 47 lectures • 11h 27m total length

  • Preview17:02
  • Chapter 1: Examples of hypotheses
    17:12
  • Chapter 2: Geographic Data - Introduction
    14:12
  • Chapter 2: Data Types
    15:26
  • Chapter 2: Classification
    17:37
  • Chapter 2: Classification Map Examples
    12:17

  • Chapter 3: Measures of Central Tendency
    18:51
  • Chapter 3 - Measures of Dispersion
    17:38
  • Chapter 3: Shape and Relative Position
    04:37
  • Chapter 3: Considerations for Spatial Data and Descriptive Statistics
    19:01
  • Chapter 4: Descriptive Spatial Statistics - Central Tendency
    17:53
  • Chapter 4: Spatial Dispersion
    10:12

  • Chapter 5: Probability - Terms and Definitions
    17:02
  • Chapter 5: Probability - Probability Rules
    11:46
  • Preview13:45
  • Chapter 5: Probability - Geometric Distribution
    07:26
  • Chapter 5: Probability - Poisson
    15:02
  • Chapter 5: Probability - Poisson Spatial
    06:26
  • Chapter 6: The Normal Distribution - Introduction
    10:25
  • Chapter 6: The Normal Distribution - Calculation
    08:03
  • Chapter 6: The Normal Distribution - Last Spring Frost Example
    08:00
  • Chapter 8: Estimation in Sampling - Introduction
    09:50
  • Chapter 8: Estimation in Sampling - Central Limit Theorem
    18:18
  • Chapter 8: Estimation in Sampling - Confidence Intervals
    15:22
  • Chapter 8: Estimation in Sampling - Examples
    15:17

  • Chapter 9: Elements of Inferential Statistics - Terms and Concepts
    19:20
  • Chapter 9: Elements of Inferential Statistics - one sample difference of means
    12:31
  • Preview11:22
  • Preview14:28
  • Chapter 10: Difference of Proportions - calculation
    12:31
  • Chapter 10: Matched Pairs Test
    15:44
  • Chapter 11: ANOVA - Introduction
    10:53
  • Chapter 11: ANOVA - Calculation
    09:14
  • Preview17:48

  • Preview19:55
  • Chapter 14: Point Pattern Analysis - Nearest Neighbor
    18:35
  • Chapter 14: Point Pattern Analysis - Quadrat Analysis
    19:09
  • Chapter 15: Area Pattern Analysis - Join Count
    18:46
  • Chapter 15: Area Pattern Analysis - Moran's I (Introduction)
    15:50
  • Chapter 15: Area Pattern Analysis - Moran's I (conclusion)
    17:51

  • Chapter 16: Correlation - Introduction
    10:27
  • Chapter 16: Correlation - Pearson
    15:09
  • Chapter 16: Correlation - Spearman
    17:13
  • Chapter 17: Simple Linear Regression - Introduction
    16:47
  • Chapter 17: Simple Linear Regression - Calculation
    19:14
  • Chapter 17: Simple Linear Regression - Interpretation
    16:49
  • Chapter 18: Multiple Regression - Introduction
    19:20

Instructor

Arthur Lembo
Professor
Arthur Lembo
  • 4.2 Instructor Rating
  • 3,264 Reviews
  • 12,169 Students
  • 18 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.

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