A small subset of real monitoring data used in examples and vignettes. Now includes extra columns rio, lat, lon.
This dataset contains real water quality measurements collected by INEMA (Instituto do Meio Ambiente e Recursos Hidricos, Bahia) during monitoring campaigns conducted between 2021 and 2024 in the Rio Buranhem watershed, municipality of Porto Seguro, Bahia, Brazil. The dataset was incorporated into the package for demonstration, reproducibility and methodological illustration, following the analytical workflow implemented in tikatuwq. Parameters include sampling dates, site identifiers and multiple physicochemical variables measured during field campaigns.
data(wq_demo)data(wq_demo)
A tibble/data.frame with 20 rows and 14 columns:
character, river name
character, monitoring point id
Date, sampling date
numeric, pH
numeric, dissolved oxygen (mg/L)
numeric, NTU
numeric, mg/L
numeric, MPN/100 mL
numeric, total phosphorus (mg/L)
numeric, total nitrogen (mg/L)
numeric, degrees Celsius
numeric, total dissolved solids (mg/L)
numeric, latitude
numeric, longitude
A tibble/data.frame. See wq_demo documentation for column details.
The dataset is a real subset selected from BURANHEM river (dataset-real.csv), used for reproducible examples and vignettes. Covers 4 monitoring points and years 2020–2024. All core columns for IQA/CONAMA/plotting helpers are present.
iqa(), conama_check(), plot_series(),
plot_box(), plot_iqa(), plot_heatmap()
wq_demo
data("wq_demo", package = "tikatuwq")
head(wq_demo)
# quick IQA example:
# iqa(wq_demo, na_rm = TRUE)
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