Spatial Interpolation Accuracy Across Eight Coordinate Systems

A study by Geoscience Australia examines the effect of spatial reference systems on predictive accuracy for seabed sediment data in the Australian Exclusive Economic Zone. It compares two geographic coordinate systems (WGS84, GDA94) and six map projections using inverse distance squared and ordinary kriging interpolation methods. Analysis was conducted using ArcGIS and R, with results published by the Australian Ocean Data Network.

Use Cases

• Compare predictive errors of inverse distance squared interpolation across WGS84 and six map projections.
• Assess ordinary kriging accuracy for seabed sediment data using leave-one-out cross validation.
• Evaluate the impact of map projection distortion on spatial prediction maps for marine environmental variables.

Strengths

• Analysis covers eight distinct spatial reference systems.
• Employs two common spatial interpolation methods: inverse distance squared and ordinary kriging.
• Validation performed using leave-one-out cross validation.

Limitations

• Sample size and specific row count for the marine dataset are not provided.
• Geographic scope is limited to the Australian Exclusive Economic Zone.
• Underlying sediment sample data and its collection details are not fully described.

Provenance

Source

Geoscience Australia and external organizations.

Collection Method

Spatial interpolation applied to existing marine sediment samples collected from the continental Australian Exclusive Economic Zone.

Time Range

null

Freshness

null

Geography

Australian Exclusive Economic Zone (AEEZ), with specific analysis in the SW region.