SamplingBigData swMATH ID: 31430 Software Authors: Jonathan Lisic, Anton Grafström Description: 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. Homepage: https://cran.r-project.org/web/packages/SamplingBigData/index.html Source Code: https://github.com/cran/SamplingBigData Dependencies: R Related Software: BalancedSampling Cited in: 1 Publication Cited by 2 Authors 1 Wang, Zhonglei 1 Zhu, Zhengyuan Cited in 1 Serial 1 Journal of Agricultural, Biological, and Environmental Statistics Cited in 1 Field 1 Statistics (62-XX) Citations by Year