51 comparative studies on the performance of 62 spatial interpolation methods in environmental sciences are summarized. The review, published by Geoscience Australia Data, compares methods across three categories, quantifies impacts from 77 data cases, and classifies 26 methods. It includes a decision tree for method selection and a list of software packages.
Use Cases
- Selecting an appropriate interpolation method based on data availability and nature using the provided decision tree.
- Comparing the performance of non-geostatistical, geostatistical, and combined interpolation methods based on summarized studies.
- Quantifying the impact of factors like sample density and data variation on interpolation estimates using the 77-case analysis.
- Understanding relationships and similarities among 26 classified interpolation methods via cluster analysis.
Strengths
- Summarizes findings from 51 comparative studies involving 62 methods and sub-methods.
- Quantifies impacts of factors like sample density using data from 77 distinct cases.
- Provides a structured classification and cluster analysis of 26 spatial interpolation methods.
Limitations
- Row count and column-level documentation are absent; field semantics must be inferred after download.
- The primary file formats are PDF and HTML, suggesting the core content is a review document rather than a raw dataset.
Provenance
- Source
- Geoscience Australia Data
- Collection Method
- Literature review and comparative analysis of existing studies.
- Freshness
- Last updated 2026-03-25 17:56:45.206997; freshness should be verified.