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Introduction to Geographically Weighted Regression (GWR): Understanding Why Relationships Change Across Space

By statspatial teamPosted on July 30, 2026July 30, 2026

When analyzing data, one common assumption is that the relationship between variables is the same everywhere. For example, we might […]

Why Your Neighbor’s House Price Can Affect Your Own Home

By statspatial teamPosted on May 10, 2026

Imagine two houses with almost identical: Yet somehow, one house is worth significantly more simply because it is located in […]

Similarity and Geographically Weighted Regression on Indonesian HDI in 2024

By statspatial teamPosted on April 1, 2026April 1, 2026

Introduction Similarity and Geographically Weighted Regression (SGWR) is a regression approach introduced by M. Naser Lessani and Zhenlong Li in […]

Geographically Weighted Regression on Indonesian Human Development Index in 2024 (Part 3)

By statspatial teamPosted on March 31, 2026March 31, 2026

The processing steps done from previous articles: article-1 and article-2 are: In this article, we continue the steps until finish: […]

Geographically Weighted Regression on Indonesian Human Development Index in 2024 (Part 2)

By statspatial teamPosted on March 31, 2026March 31, 2026

This article is a continuation from results part of previous article. The processing steps done from previous article are: In […]

Geographically Weighted Regression on Indonesian Human Development Index in 2024 (Part 1)

By statspatial teamPosted on March 31, 2026March 31, 2026

Introduction The Human Development Index (HDI) is a widely used composite indicator for assessing the overall level of human development […]

Geographically Weighted Regression for Community Health Index (Part 3)

By statspatial teamPosted on August 22, 2025December 31, 2025

We were modelling the Public Health Development Index (PHDI) using the Geographically Weighted Regression which generate distinct regression models for […]

Geographically Weighted Regression for Community Health Index (Part 4)

By statspatial teamPosted on August 18, 2025August 18, 2025

The GWR Model A model can be either global or local. Classical linear regression is a global model. It is […]

gwr

Geographically Weighted Regression (GWR) for Community Health Index – Part 2

By statspatial teamPosted on August 12, 2025December 31, 2025

We were modelling the Public Health Development Index (PHDI) using the Geographically Weighted Regression which generate distinct regression models for […]

Geographically Weighted Regression for Community Health Index (Part 1)

By statspatial teamPosted on August 5, 2025December 31, 2025

Introduction Health development is a planned and sustainable effort to improve the health status of society through various strategies, policies […]

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Spatial Statistics made simple. Learn GWR, HLM, and spatial analysis practically with R. Statspatial helps people learn statistics by turning complex ideas into simple, clear explanations that are easy to follow and apply in real-world situations.

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  • Introduction to Geographically Weighted Regression (GWR): Understanding Why Relationships Change Across Space
  • Spatial Heterogeneity Explained
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