Review of Spatial Interpolation Methods for Environmental Data

Australian Ocean Data Network provides a review comparing 62 spatial interpolation methods and sub-methods across 51 comparative studies. The analysis quantifies impacts using data from 77 cases and classifies 26 methods based on their features. This methodological review was published in April 2026.

Use Cases

• Select an appropriate interpolation method from 26 classified options based on data availability and nature using the provided decision tree.
• Compare the performance of 62 methods and sub-methods as summarized from 51 comparative studies in environmental sciences.
• Quantify the impact of factors like sample density and data variation on estimations using data from the 77 analyzed cases.
• Conduct cluster analysis on quantified method features to understand similarities among spatial interpolators.

Strengths

• Summarizes findings from 51 comparative studies on method performance.
• Quantifies impacts using data from 77 separate cases.
• Compares a total of 62 distinct methods and sub-methods.
• Classifies and analyzes 26 methods based on their features.

Limitations

• Dataset consists of a review document (PDF/HTML), not a structured data table with rows and columns.
• No raw sample data or tabular datasets are provided for direct analysis.
• Specific application examples are discussed, but no accompanying code or software is bundled.

Provenance

Source

Australian Ocean Data Network

Collection Method

Literature review and meta-analysis of existing comparative studies.

Time Range

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Freshness

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Geography

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