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Introduction to R-INLA for Spatial Disease Mapping: A Beginner's Step-by-Step Guide
A comprehensive, beginner-friendly walkthrough demonstrating how to implement Bayesian spatial disease mapping using R-INLA (Integrated Nested Laplace Approximations). This tutorial guides users through the entire epidemiological data pipeline: from importing local administrative shapefiles (using Kenya as a study case) to simulating realistic disease data using Poisson distributions and accounting for background populations. It explicitly breaks down how to construct spatial neighborhood graphs and configure the classic Besag-York-MolliƩ (BYM) model to split geographic variation into smooth regional patterns and localized noise. Finally, it demonstrates how to extract posterior mean relative risks and visualize public health hot-spots using advanced continuous color styling in ggplot2. Ideal for epidemiologists, data scientists, and students transitioning into spatial statistics.
Fungsi Dasar dalam R
Habibah Al Rabiah
Tugas 1 Komputasi Statistika
Niska Pradila
2507016073
Kelas B
Tugas Fungsi Dasar dan Tugas Gambar 2.22- 2.34
Sofi Fakidhotul Mutafida(2507016014)
TUGAS 1 KOMPUTASI STATISTIKA
NAMA:NADIA
NIM:2507016010
KELAS A