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Spatial Statistical Methods for Geography

Spatial Data Analysis Using Statistical Models Patterns and Geographic Insights

SLPR

Created by Sage Publishing Limited, Peter A. Rogerson

Explore the essentials of spatial statistics and learn how to analyze geographic data using practical statistical methods. Discover how location influences data patterns and gain the skills to interpret spatial relationships and build meaningful models for real-world geographic questions.

Sage Publishing | May 2026 | 256 min

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LevelIntermediate
CategoriesData Science, Statistical Analysis and Predictive Modeling

What You Will Learn

You will start by building a strong foundation in statistical principles, then move into spatial thinking and analysis. Through practical examples and clear explanations, you will learn how to detect patterns, apply statistical tests, and model geographic data. Each step connects theory to real-world scenarios, helping you develop analytical skills you can use immediately.

Key Features

  • Identify spatial patterns and clusters in geographic datasets with confidence
  • Apply statistical tests to evaluate randomness and relationships in spatial data
  • Build and interpret spatial regression models for informed geographic decision-making

Target Audience

If you are a student, researcher, or professional in geography, GIS, or data science with a basic understanding of statistics, this course is designed for you. It is especially helpful if you want to strengthen your ability to analyze spatial data, interpret results, and make data-driven decisions in geographic contexts.

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