Statistical Problem Solving in Geography
Training
Online
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Canterbury College
Course OnlinePrice on request -
E-learning Aneconomist
Training Online£ 149 VAT inc. -
Great Plains College
Course OnlinePrice on request -
Adkins Matchett & Toy
Course OnlinePrice on request -
School of Social Science - Birkbeck University of London
Postgraduate Distance LearningPrice on request -
Open Yale
Course OnlineFree -
FutureLearn
Course OnlineFree
Description
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Type
Training
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Methodology
Online
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Class hours
12h
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Start date
Different dates available
"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."
Facilities
Location
Start date
Start date
About this course
"perform statistical analysis with geographic dataunderstand descriptive and inferential statisticscorrectly interpret statistical results"
"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 MonroeGeographers and GIS professionals wanting obtain quantitative skills for their daily work"
"Students should have some background with basic arithmetic and spreadsheet softwareStudents should obtain the book An Introduction to Statistical Problem Solving, although any introductory book on statistics and geography should be fine"
"-100% online -Access to the course for life -30 days warranty money back -Available from desktop or mobile app -Can begin and finish the course any time -Can repeat the course any times"
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This centre's achievements
All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 3 years
Subjects
- Problem Solving
- Statistics
- GIS
- Probability
- Geography
- Statistics and Probability
- Statistics for datascience
- Environmental Science
- GIS Data
- GIS BIM
- Geospatial
- Geoscience
- Geographic
- Scientific study
- Science
- Geostatistic
- Geostatistics
- Spatial analysis
- Spatial Data
- Spatial Design
Course programme
Course Welcome
Chapter 1: Introduction to Statistics and Geography
Chapter 1: Examples of hypotheses
Chapter 2: Geographic Data - Introduction
Chapter 2: Data Types
Chapter 2: Classification
Chapter 2: Classification Map Examples
Descriptive Problem Solving in Geography
Chapter 3: Measures of Central Tendency
Chapter 3 - Measures of Dispersion
Chapter 3: Shape and Relative Position
Chapter 3: Considerations for Spatial Data and Descriptive Statistics
Chapter 4: Descriptive Spatial Statistics - Central Tendency
Chapter 4: Spatial Dispersion
The Transition to Inferential Problem Solving
Chapter 5: Probability - Terms and Definitions
Chapter 5: Probability - Probability Rules
Chapter 5: Probability - Binomial Distribution
Chapter 5: Probability - Geometric Distribution
Chapter 5: Probability - Poisson
Chapter 5: Probability - Poisson Spatial
Chapter 6: The Normal Distribution - Introduction
Chapter 6: The Normal Distribution - Calculation
Chapter 6: The Normal Distribution - Last Spring Frost Example
Chapter 8: Estimation in Sampling - Introduction
Chapter 8: Estimation in Sampling - Central Limit Theorem
Chapter 8: Estimation in Sampling - Confidence Intervals
Chapter 8: Estimation in Sampling - Examples
Inferential Problem Solving in Geography
Chapter 9: Elements of Inferential Statistics - Terms and Concepts
Chapter 9: Elements of Inferential Statistics - one sample difference of means
Chapter 10: Two Sample Difference Tests - Introduction
Chapter 10: Two sample difference of means - calculation
Chapter 10: Difference of Proportions - calculation
Chapter 10: Matched Pairs Test
Chapter 11: ANOVA - Introduction
Chapter 11: ANOVA - Calculation
Chapter 11: ANOVA - Examples
Inferential Spatial Statistics
Chapter 13: General Issues in Inferential Spatial Statistics
Chapter 14: Point Pattern Analysis - Nearest Neighbor
Chapter 14: Point Pattern Analysis - Quadrat Analysis
Chapter 15: Area Pattern Analysis - Join Count
Chapter 15: Area Pattern Analysis - Moran's I (Introduction)
Chapter 15: Area Pattern Analysis - Moran's I (conclusion)
Statistical Relationships Between Variables
Chapter 16: Correlation - Introduction
Chapter 16: Correlation - Pearson
Chapter 16: Correlation - Spearman
Chapter 17: Simple Linear Regression - Introduction
Chapter 17: Simple Linear Regression - Calculation
Chapter 17: Simple Linear Regression - Interpretation
Chapter 18: Multiple Regression - Introduction"
Statistical Problem Solving in Geography
-
Canterbury College
Course OnlinePrice on request -
E-learning Aneconomist
Training Online£ 149 VAT inc. -
Great Plains College
Course OnlinePrice on request -
Adkins Matchett & Toy
Course OnlinePrice on request -
School of Social Science - Birkbeck University of London
Postgraduate Distance LearningPrice on request -
Open Yale
Course OnlineFree -
FutureLearn
Course OnlineFree