Empty Space Matrix Condensation

Organization Name

Inventor(s)

Madeleine Rosa Beagley of Vancouver (CA)

Juan Bernardo Tamez Pena of Bothell WA (US)

Empty Space Matrix Condensation - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240193884 titled 'Empty Space Matrix Condensation

Simplified Explanation

The patent application describes a method for condensing a grid in a display space by removing cells based on a compression threshold value, while maintaining the relative positioning of objects within clusters.

Key Features and Innovation

Obtaining grid cell sizes for multiple clusters of objects in a display space
Mapping objects to cells in the grid based on the grid cell size
Using a grid compression threshold value to condense the grid by removing cells
Remapping objects in the display space to reduce space between clusters while preserving relative object positioning

Potential Applications

This technology could be applied in:

Data visualization software
Geographic information systems
Image processing applications

Problems Solved

Efficient use of display space
Improved organization of objects in clusters
Reduction of clutter in visual representations

Benefits

Enhanced visual clarity
Optimal use of screen real estate
Streamlined data presentation

Commercial Applications

"Optimized Grid Compression Method for Enhanced Data Visualization" could be utilized in industries such as:
Graphic design
Urban planning
Market research

Prior Art

Readers interested in prior art related to this technology could explore research on grid compression methods in data visualization and image processing software.

Frequently Updated Research

Stay informed about advancements in grid compression techniques and data visualization technologies to enhance the application of this innovation.

Questions about Optimized Grid Compression Method for Enhanced Data Visualization

What are the key benefits of using this grid compression method?

The key benefits include enhanced visual clarity, optimal use of screen real estate, and streamlined data presentation.

How does this technology improve the organization of objects within clusters?

This technology reduces space between clusters of objects while maintaining their relative positioning, resulting in a more organized display.

Original Abstract Submitted

a computer implemented method includes obtaining a grid cell size for multiple clusters of objects in a display space. the objects are mapped to cells in the grid having the grid cell size. a grid compression threshold value expressed as a number of cells is used to condense the grid by removing cells based on the grid compression threshold value. the objects are remapped in the display space such that space between clusters of objects is reduced while maintaining relative positioning of objects within the clusters.