In order to minimise edge effects in spatial interpolation, you should
A) not define the boundary of your study area
B) obtain additional sample data points outside your study area
C) increase the density of sampled points in your study area
D) improve the accuracy of sampled point data in your study area

Question

Quizplus · Accepted Answer

Obtaining additional sample data points outside the study area can help to minimize edge effects in spatial interpolation. This is because edge effects often arise when the interpolation model is not sufficiently constrained by sample data points near the boundaries of the study area. By including additional sample data points outside the study area, the model can be better constrained and the resulting interpolation can be more accurate. However, it's also important to ensure that these additional data points are representative of the spatial patterns and trends in the study area, and not introducing bias or noise into the interpolation process.

In Order to Minimise Edge Effects in Spatial Interpolation, You