Related Experiment Video
Updated: Jan 18, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
Published on: July 22, 2025
[AmostraBrasil: an R package for household sampling in Brazilian municipalities]
Ricardo Cordeiro1, Celso Stephan1, Maria Rita Donalísio1
1Faculdade de Ciências Médicas, Universidade Estadual de Campinas, Campinas, Brasil.
Abstract:
Given the relevance of epidemiological surveys and the difficulties in establishing an adequate sampling plan to conduct them, this article present the AmostraBrasil package, part of the open-access R software, which automatizes the taking of random samples - simple, systematic, and stratified - from households in any Brazilian municipalities (counties). The package also allows automatically obtaining the sampled households' geographic coordinates, was well as shapefiles of the municipality's perimeter and the sample's spatial distribution. The article describes the steps for installing and using the package in the Windows OS. Examples are provided of the package's applications: sampling and spatial distribution of 2,500 residential households in the city of Rio de Janeiro and generation of controls in estimating risk spatial distribution.
More Related Videos
Related Concept Videos
Convenience Sampling Method
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
Systematic Sampling Method
Systematic sampling is one of the simplest methods...
Stratified Sampling Method
To choose a stratified sample, divide the population into groups called strata and then take a...
Distributions to Estimate Population Parameter
Cluster Sampling Method
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
Statistical Methods for Analyzing Epidemiological Data

