Advanced & Applied Topics · Spatial Statistics & Geostatistics

Spatial Statistics: Spatio-Temporal Modeling

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction Advanced modeling module

Overview

Topics covered

  • Introduction
  • Introduction, Context and Methodological Challenges
  • Spatio-Temporal Stochastic Processes
  • 2.1 Stationarity Properties
  • Spatio-Temporal Covariance Structures: Separability
  • 3.1 The Separability Paradigm

Related concepts

Main connections

  • Linear algebra & matrices
  • Variance & standard deviation
  • Calculus & differentiation
  • Time series & ARIMA
  • Bayes' theorem & priors
  • Markov chain Monte Carlo (MCMC)

Compatible notation

Mathematical sample in LaTeX

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

{Y(s,t):(s,t)∈𝒟×𝒯}
View LaTeX source\{Y(s, t) : (s, t) \in \mathcal{D} \times \mathcal{T}\}