The 5 Building Blocks of Spatial Digital Twins

Spatial digital twins pack five essential features: rich 2D/3D visualization layers for exploring urban environments; intuitive text‑and‑SQL spatial querying; automated data mining to spot patterns and anomalies; dynamic simulations for traffic, energy, disaster, and process “what‑if” scenarios; and AI/ML‑driven predictive analytics using real‑time feeds to forecast outcomes and optimize operations.

Table of Links

Abstract and 1 Introduction

1.1. Spatial Digital Twins (SDTs)

1.2. Applications

1.3. Different Components of SDTs

1.4. Scope of This Work and Contributions

2. Related Work and 2.1. Digital Twins and Variants

2.2. Spatial Digital Twin Case Studies

3. Building Blocks of Spatial Digital Twins and 3.1. Data Acquisition and Processing

3.2. Data Modeling, Storage and Management

3.3. Big Data Analytics System

3.4. Maps and GIS Based Middleware

3.5. Key Functional Components

4. Other ...