An Introduction To Statistical Problem Solving In Geography

An Introduction To Statistical Problem Solving In Geography-48
Bhuiyan Alam, University of Toledo "Without the Mc Grew text my course wouldn't be a 'geographic statistics' course.I love the book and my students do too." Paul Sutton, University of Denver Part I: BASIC STATISTICAL CONCEPTS IN GEOGRAPHY 1.An epilogue offers over 150 geographic situations, inviting students to apply their new statistical skills to solve problems currently affecting our world.

Basic Elements of Sampling Sampling Concepts / Types of Probability Sampling / Spatial Sampling 8.

Estimation in Sampling Basic Concepts in Estimation / Confidence Intervals and Estimation / Geographic Examples of Confidence Interval Estimation / Sample Size Selection Part IV: INFERENTIAL PROBLEM SOLVING IN GEOGRAPHY 9.

The Pennsylvania Geographer Social science statistics oftentimes is not focused on geography as a unique discipline with its own set of problems and applications.

This text provides both the theory and application of statistics for undergraduate students in geography.

Basics of Probability and Discrete Probability Distributions Basic Probability Processes, Terms, and Concepts / The Binomial Distribution / The Geometric Distribution / The Poisson Distribution 6.

Continuous Probability Distributions and Probability Mapping The Normal Distribution / Probability Mapping 7.

General Issues in Inferential Spatial Statistics Types of Spatial Pattern / The Concept of Autocorrelation / Who Is My Neighbor? Point Pattern Analysis Nearest Neighbor Analysis / Quadrat Analysis 15.

Area Pattern Analysis Join Count Analysis / Moran's I Index (Global) / Moran's I Index (Local) Part VI: STATISTICAL RELATIONSHIPS BETWEEN VARIABLES 16.

They delve into the calculation of descriptive summaries and graphics, the use of inferential statistics as exploratory and descriptive tools, ANOVA and Kruskal-Wallis tests and different spatial statistics to explore geographic patterns, inferential spatial statistics, and spatial autocorrelation and variograms.

The authors maintain an exploratory and investigative approach throughout, providing readers with real-world geographic issues and more than 50 map examples.

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