Geospatial Visual Analytics System with Integrated Data Preparation

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Solution Overview

Problem

Existing GeoViz systems decouple data preparation and map visualization phases, leading to substantial overhead and limited scalability when handling massive-scale geospatial data, as they do not co-optimize these phases effectively.

Innovation Solution

A hybrid system architecture that combines spatial data preparation and map visualization phases in the same distributed cluster, using MapViz operators and spatial query operators to optimize data preparation and visualization processes, with a GeoViz-aware spatial partitioning approach to balance load and reduce data shuffling.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If data preparation and map visualization phases are decoupled into separate systems, then each phase can be optimized independently, but substantial overhead is introduced for connecting data management system to visualization tool and scalability is limited

Engineering Contradiction:

Improveindependent optimization capabilityVSAvoidsystem connection overhead

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent merges the data preparation phase and map visualization phase into a single integrated system. The spatial data management system and map visualization tool are combined in one unified architecture, eliminating the need for substantial overhead connections between separate systems. This integration allows the system to handle massive-scale geospatial data while maintaining scalability.

Inventive Principle:

Principle #5Merging (Combining)

2Productivity

If data preparation and map visualization phases are decoupled, then data can be prepared using large-scale data systems, but substantial overhead is demanded to connect data management system to map visualization tool

Engineering Contradiction:

Improvedata preparation capabilityVSAvoidconnection overhead time

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

By combining data preparation and map visualization in a single integrated system, the patent eliminates the time loss associated with connecting separate systems. The unified architecture allows data to flow directly from preparation to visualization without substantial overhead, significantly reducing the time required for geospatial analysis workflows.

Inventive Principle:

Principle #5Merging (Combining)

3Adaptability or versatility

If data preparation and map visualization phases are decoupled, then specialized tools can be used for each phase, but scalability is limited when handling massive-scale geospatial data

Engineering Contradiction:

Improvespecialized tool utilizationVSAvoidscalability

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The integrated system provides multi-functionality by incorporating both data preparation capabilities and map visualization capabilities within a single platform. This universal system can handle massive-scale geospatial data while maintaining the specialized functionalities of both data preparation and visualization, thereby achieving scalability without sacrificing specialized tool utilization.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS11188557B2Systems and methods for an end-to-end visual analytics system for massive-scale geospatial data

Publication Date: 2021.11.30 THE ARIZONA BOARD OF REGENTS ON BEHALF OF THE UNIV OF ARIZONA

AI summary

Various embodiments of an end-to-end visual analytics system and related method thereof are disclosed.