Describe common types of spatial sampling methods
Spatial sampling is a key estimation method in spatial analysis, where known sample points are used to predict values at unknown locations. The goal is to improve prediction accuracy by ensuring high-quality samples. This requires controlling two main factors: the location of the samples and the sample size. Sample locations must be carefully chosen within the study area to balance distribution, cost, efficiency, and prediction accuracy. The sample size should ideally be optimized, as collecting too many samples may not provide additional useful information and can increase costs. The challenge is finding the right balance between sample quantity and quality.