A Parallel Chain Mail Approach for Scalable Spatial Data Interpolation
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This approach can be described as a multiple-step parallel interpolation algorithm that includes specific regional border data manipulation for achieving ...
Abstract—Deteriorating air quality is a growing concern that has been linked to many health-related issues. Its monitoring is a.
Combined with a serverless cloud architecture, this approach opens doors to interpolating large data sets in a matter of minutes while remaining cost-efficient.
Read our BigData '21 paper titled "A Parallel Chain Mail Approach for Scalable Spatial Data Interpolation" here: https://t.co/xx28qxeay2.
A pay-as-you-go model with minimal or no upfront costs creates a flexible and cost-effective means to access compute resources. In this paper, we carry out a ...
Missing: Mail | Show results with:Mail
A fast scalable distributed kriging algorithm using Spark framework · Spatial interpolation in massively parallel computing environments · Natural neighbour ...
This work presents a threestep chain mail algorithm that uses kriging (without any modifications to the kriging algorithm itself) and achieves up to ×100 ...
Jul 20, 2023 · Fix missing or coarse data with Spatial Interpolation. Compare IDW and Kriging methods & follow along with tutorials!
Missing: Mail Scalable
The objective of this paper is to investigate the use of domain decomposition for a distributed inverse-distance-weighted spatial interpolation algorithm; the ...
Missing: Mail | Show results with:Mail
May 4, 2024 · "A Parallel Chain Mail Approach for Scalable Spatial Data Interpolation," in 2021 IEEE International Conference on Big Data (Big Data), 2021, pp ...