mapaclust: Interactive map showing clusters location.
In AdrianaPina/HydroCODA: Multistatical analysis using the compositional data approach for hydrochemical water samples

View source: R/mapaclust.R

mapaclust

R Documentation

Interactive map showing clusters location.

Description

This function generates an interactive map of zone showing the samples location and cluster classification using the Compositional Data (CoDA) approach for the data treatment and a clr trasnformation (Aitchison, 1982).

Usage

mapaclust(
  Dataclust,
  crsprj = 4326,
  Area,
  Geology,
  Faults,
  mapout = FALSE,
  shp_field,
  Filename
)

Arguments

`Dataclust`	is a matrix that contains the hydrochemical composition of water samples and the assigned cluster using the `waterclust` function. ID, long, lat, source, Mg, Ca, Na,K,HCO3, Cl,SO4,NO3,NO2,Fe. All concentrations are in meq/l. Aditional chemical compounds must be added in columns after the Fe column concentration.
`crsprj`	is the coordinate reference system (CRS) of an object. Default value is EPSG 4326 for Coordenadas Geográficas WGS84.
`Area`	is a shape with the area of interest.
`Geology`	is a shape with the geology of the area of interest.
`Faults`	is a shape with the faults of the area of interest.
`mapout`	whether to render the map in the browser (TRUE) or the RStudio viewer (FALSE).
`shp_field`	is a character varible indicating the shape field name that contains the geological description to show in the map.
`Filename`	is a character varible to assign the file name to save the interactive map in HTML format.

Details

This function requires the matrix with the hydrochemical composition of water samples and cluster classification obtained using the waterclust function.

Value

Create a dynamic map showing the geographical distribution of water sample clusters.

create a dynamic map showing the geographical distribution of water sample clusters.

Author(s)

Adriana Piña appinaf@unal.edu.co
David Zamora dazamoraa@unal.edu.co

References

Aitchison, J. (1982). The Statistical Analysis of Compositional Data. Journal of the Royal Statistical Society. Series B (Methodological), 44(2), 139–177.

Examples

data(geological_units, faults, Area_data, Dataclust)
Fig_map <- mapaclust(Dataclust, crsprj = 4326, Area = Area_data, 
                 Geology = geological_units, Faults =faults, mapout = TRUE, 
                 shp_field = "SimboloUC", Filename = NULL)
Fig_map

AdrianaPina/HydroCODA documentation built on Feb. 1, 2023, 5:43 a.m.