Advanced & Applied Topics · Spatial Statistics & Geostatistics

Spatial Statistics: Analysis of Areal Data (Lattice Data)

Public introduction · full guide in Eikos

Introduction

What this guide covers

Exhaustive theoretical-practical analysis of spatial dependence in discrete geographical units: from the spatial weight matrix to econometric models and Bayesian CAR structures.

Overview

Topics covered

  • Introduction
  • Area Data Modeling (Lattice Data)
  • Introduction and Basic Concepts
  • The Modifiable Area Unit Problem (MAUP)
  • Neighborhood Structures and the Spatial Weights Matrix ( )
  • 2.1 Contiguity Construction Criteria

Related concepts

Main connections

  • Linear algebra & matrices
  • Maximum likelihood estimation
  • Variance & standard deviation
  • Calculus & differentiation
  • Mean & expected value
  • Time series & ARIMA

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

⋃i=1nAi=DYAi∩Aj=∅∀i≠j
View LaTeX source\bigcup_{i=1}^{n} A_i = D \quad \text{Y} \quad A_i \cap A_j = \emptyset \quad \forall i \neq j