Compressing Tabular Geospatial Data for Machine Subzones
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Solution Overview
Problem
Current methods for creating boundaries and subzones for machine operation from tabular geospatial data are burdensome due to redundant data points, large dataset sizes, time-consuming data transfer, difficulties in visualization, and high storage and processing costs.
Innovation Solution
The system compresses tabular geospatial data to extract key features, which are then used to generate subzones for machine operations. This involves a process that includes querying the data, compressing it using techniques like geo-index bucketing or rasterization, extracting features, and combining them to create probabilistic soft boundaries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If tabular geospatial data is used to create boundaries and subzones, then comprehensive spatial information is available, but data size and complexity increase making processing burdensome
Solution Approach 1:
The patent segments the geospatial data processing into distinct stages: data reception, compression using geo-index bucketing, feature extraction, and subzone generation. This segmentation allows comprehensive spatial information to be processed in manageable portions, reducing overall system complexity while maintaining information completeness.
Solution Approach 2:
The patent extracts key features from compressed geospatial data to create subzone definitions. By taking out only the essential spatial characteristics needed for boundary determination and subzone creation, the system maintains comprehensive spatial information while eliminating redundant data that contributes to complexity.
2Measurement precision
If complete tabular geospatial data is transferred and processed, then accurate subzone determination is achieved, but data transfer time increases
Solution Approach 1:
The patent applies preliminary compression and feature extraction to geospatial data before transfer and processing. By pre-compressing the data using geo-index bucketing and extracting key features in advance, the system reduces data transfer time while preserving the essential information needed for accurate subzone determination.
3Adaptability or versatility
If large datasets are stored and processed, then comprehensive analysis is possible, but storage and processing costs increase
Solution Approach 1:
The patent changes the parameter of data representation by converting complete tabular geospatial data into compressed formats using geo-index bucketing. This parameter change reduces data volume significantly while maintaining the adaptability and versatility needed for comprehensive spatial analysis and subzone creation.
Data Source
AI summary
Systems, apparatus, articles of manufacture, and methods are disclosed to compress geospatial data. An example apparatus to compress geospatial data comprises circuitry to instantiate machine-readable instructions to: cause compression of first data and second data responsive to a query to compress data for a plot of land using a compression technique, the compression of the first data and the second data to generate a first compressed data set and a second compressed data set; extract features from the first compressed data set and the second compressed data set; and combine features from the first compressed data set and the second compressed data set to generate a set of geospatial features.