Tag: Hessam Djavaherpour

2017 – Fabricating Physical Globe Visualizations

Geospatial datasets are too complex to easily visualize and understand on a computer screen. Combining digital fabrication with a discrete global grid system (DGGS) can produce physical models of the Earth for visualizing multiresolution geospatial datasets. This proposed approach includes a mechanism for attaching a set of 3D printed segments to produce a scalable model of the Earth. Two models have been produced that support the attachment of different datasets both in 2D and 3D format. […]

Added by: Hessam Djavaherpour. Category: Enabling technology  Tags: 3d printing, cartographic, digital fabrication, globe, rearrangeable

2018 – Landscaper: 3D Printing and Assembling of Terrain Models

Landscape models of geospatial regions provide an intuitive mechanism for exploring complex geospatial information. However, the methods currently used to create these scale models require a large amount of resources, which restricts the availability of these models to a limited number of popular public places, such as museums and airports. Landscaper is a system for creating these physical models using an affordable 3D printer in order to make the creation of these models more widely […]

Added by: Hessam Djavaherpour. Category: Enabling technology  Tags: 3d printing, assembly, digital fabrication, terrain model

2019 – Anamorphic Data Spatialization

Data spatialization is a design technique through which data is used to create architectural spaces. It does not necessarily preserve the legibility of the represented data, but rather focuses on the spatial qualities that can be gained from the data. This research aims to introduce a method for the design of a data-driven pavilion that represents data spatially through catoptric (mirror-assisted) anamorphosis. In this work, a set of environmental datasets from North America–including […]

Added by: Hessam Djavaherpour. Category: Active physical visualization  Tags: anamorphosis, cartographic, Pavilion, public

2019 – Physicalizing Cardiac Blood Flow Data

Blood flow data from cardiac 4D Flow MRI (magnetic resonance imaging) holds much potential for research and diagnosis of flow-related diseases. However, understanding this data is quite challenging – after all, it is a volumetric vector field that changes over time. This paper proposes a novel slice-based physical model as a complementary method for visualizing the flow data. The design of this model respects the conventional method of viewing medical imagery (i.e., in cross-sections) but […]