Comparative Review of 62 Spatial Interpolation Methods for Environmental Data

A review synthesizes 51 comparative studies evaluating the performance of 62 spatial interpolation methods and sub-methods. It quantifies impacts on estimations using data from 77 cases and classifies 26 methods based on their features to aid selection.

Use Cases

• Compare the performance of 62 methods and sub-methods across different environmental variables using the summarized 51 comparative studies.
• Quantify the impacts of sample density, data variation, and sampling design on method estimations using the 77 case studies.
• Select an appropriate spatial interpolation method from the classified 26 methods using the developed decision tree based on data availability and nature.
• Conduct cluster analysis to identify similarities among the 26 spatial interpolators based on their quantified features.

Strengths

• Synthesizes findings from 51 distinct comparative studies on method performance.
• Evaluates a wide range of 62 specific methods and sub-methods.
• Quantifies factor impacts using empirical data from 77 cases.
• Provides a structured classification and decision tree for 26 key methods.

Limitations

• The dataset is a review document (HTML/PDF), not a structured tabular dataset with rows and columns for direct computational analysis.
• Performance findings are aggregated from secondary studies, not raw primary measurement data.
• Method recommendations may be influenced by the specific 51 studies and 77 cases reviewed, potentially not covering all applications.

Provenance

Source

Geoscience Australia Data

Collection Method

Literature review and synthesis of existing comparative studies.

Time Range

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Freshness

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Geography

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