1. Introduction
2. Methodology
2.1. Assembling Corpus of Physicalization Examples
2.2. Analysis
3. Physicalization Classification Schemes
3.1. Information and Scientific Visualization
3.2. Pragmatic vs. Artistic Goals
3.3. Passive, Augmented, and Active Physicalizations
3.4. Application-centric Classification
3.5. Representational Idioms of Physicalizations
4. Target Data for Physicalization
4.1. Biological and Medical Data
4.2. Statistical Data
4.3. Personal Data
4.4. Geospatial Data
4.5. Environmental Data
4.6. Image/Video Data
4.7. Other Datasets
5. Design and Physical Rendering Approaches
5.1. Design of Physicalizations
5.2. Digital Design
5.3. Digital Fabrication
5.4. Augmenting Physicalizations
5.5. Active Physicalization Rendering Techniques
5.6. Automated Physical Rendering Platforms
6. Discussion
6.1. Common Digital Design and Fabrication Challenges
6.2. Collisions between Data Representation and Digital Fabrication
6.3. Physical Scale
6.4. Assembly and Interaction
7. Conclusion and Future Work