Predictive Geospatial Asset Generation for Offline Access
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Solution Overview
Problem
Users of Geographic Information Systems (GIS) face limitations in accessing geospatial data due to lack of network connectivity or high data restrictions, as they rely on central servers for large geospatial assets, which may not always be available.
Innovation Solution
A system and method that predicts a user's region of interest based on event data, generates a portable geospatial asset with relevant data subsets, and transmits it to a local device for offline access, allowing users to access geospatial data without relying on network connectivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users rely on central servers to provide geospatial data, then comprehensive geospatial assets can be accessed, but network connectivity is required and data transfer burdens increase
Solution Approach 1:
The system extracts only the necessary geospatial data subsets corresponding to predicted regions of interest from the comprehensive master geospatial assets, and stores them locally in the portable geospatial asset module, eliminating the need for continuous network connectivity
Solution Approach 2:
The system performs preliminary prediction of regions of interest based on event data before the user actually needs the geospatial data, and pre-loads these data subsets into local storage, ensuring data availability without network connectivity when needed
2Reliability
If all geospatial data is transmitted to local device, then complete information is available offline, but data transfer burden and storage requirements increase
Solution Approach 1:
The system extracts only the essential geospatial data subsets corresponding to predicted regions of interest from the comprehensive master geospatial assets, storing them locally while excluding unnecessary data, thus reducing data transfer volume while maintaining offline access capability
Solution Approach 2:
The system creates a specialized local version of geospatial assets tailored to the specific user's predicted regions of interest based on their event data, rather than providing a complete universal copy, optimizing both storage and transfer efficiency
3Adaptability or versatility
If comprehensive geospatial assets are provided, then all possible information is available, but processing time and resource requirements increase
Solution Approach 1:
The system extracts and provides only the relevant geospatial data subsets corresponding to predicted regions of interest, eliminating the need to process and manage comprehensive geospatial assets, thus reducing processing time while maintaining adaptability to user needs
Data Source
AI summary
In one aspect, a method for providing geospatial assets is disclosed. The method may include receiving, from a local computing device, event data associated with a user, determining a predicted region of interest for the user based on the event data, generating a portable geospatial asset based on the predicted region of interest and transmitting the portable geospatial asset to the local computing device.