stratified_sampler: Stratified simple random sampling.

In zackarno/butteR: Smoothes out analysis work flow especially when using mobilie data collection systems (ODK/Kobo)

Description

Stratified simple random sampling.

Usage

stratified_sampler(
  sample.target.frame,
  sample.target.frame.strata,
  sample.target.frame.samp.size,
  pt.data,
  pt.data.strata,
  pt.data.labels,
  target_gdb = NULL,
  seed = NULL,
  write_kml = TRUE,
  write_remaining_sample_csv = TRUE
)

Arguments

sample.target.frame	data frame with strata, and sample size columns
sample.target.frame.strata	name of strata column in sample.target.frame
sample.target.frame.samp.size	name of sample size column in sample.target.frame
pt.data	pt data object of class
pt.data.strata	name of strata column in pt.data
pt.data.labels	name of column to label individual kml points
target_gdb	folde to output kml files to. If empty/null (default) files will write to current working directory
seed	set and save random seed (will set by default)
write_kml	logical, write output to kml
write_remaining_sample_kml	logical, write remaining sample to csv

Value

list with each sample as sf object. Exports each item in list to kml file in selected directory

zackarno/butteR documentation built on May 8, 2021, 4:50 p.m.