SamplingBigData

R package SamplingBigData: Sampling Methods for Big Data. Select sampling methods for probability samples using large data sets. This includes spatially balanced sampling in multi-dimensional spaces with any prescribed inclusion probabilities. All implementations are written in C with efficient data structures such as k-d trees that easily scale to several million rows on a modern desktop computer.

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References in zbMATH (referenced in 1 article )

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  1. Wang, Zhonglei; Zhu, Zhengyuan: Spatiotemporal balanced sampling design for longitudinal area surveys (2019)