[Geog 5069] Spatial Analysis: Methods and Applications
Instructor: Tzai-Hung Wen, Ph.D.  E-mail: wenthung@ntu.edu.tw
Department of Geography, National Taiwan University

Contents

Warm Up: R Basics
   1. Data Manipulation, Basic Statistics and Graphics: R code
   2. Spatial Mapping (Using R as a GIS): R code, R code (suppl.)

Exploring Point Patterns
   3. Summary Functions and Kernel Density Estimation: R code
   4. Measuring Space-Time Interaction and Clustering: R code
   5. Inhomogeneous Poisson Process and Models: R code, R code 2

* Midterm Exam: Questions and Solutions

Modeling Areal Data
   6. Spatial Weighting Matrix and Dependency: R code
   7. Spatial Regression Models: R code
   8. Spatial Equilibrium Effects: R code
   9. Spatial Heterogeneity and Geographically-Weighted Regression: R code

Analyzing Multi-level Structures
   10. Understanding the Fixed and Random Effects: R code
   11. Random Intercept and Slope Models: R code