Tinto and Odiel estuary geochemistry

This data set contains informations about geochemical characteristics of heavy metal pollution in surface sediments of the Tinto and Odiel river estuary (south-western Spain).

Usage

data(tintoodiel)

Format

tintoodiel is a list with the following components:

xy

a data frame that contains spatial coordinates of the 52 sites

tab

a data frame with 12 columns (concentration of heavy metals) and 52 rows (sites)

nb

the neighbourhood graph of the 52 sites (an object of class nb)

Source

Borrego, J., Morales, J.A., de la Torre, M.L. and Grande, J.A. (2002) Geochemical characteristics of heavy metal pollution in surface sediments of the Tinto and Odiel river estuary (south-western Spain). Environmental Geology, 41, 785--796.

Examples

data(tintoodiel)
estuary.pca <- dudi.pca(tintoodiel$tab, scan = FALSE, nf = 4)

if(requireNamespace("spdep", quietly = TRUE) & requireNamespace("adespatial", quietly = TRUE)) {
    estuary.listw <- spdep::nb2listw(tintoodiel$nb)
    estuary.pca.ms <- adespatial::multispati(estuary.pca, estuary.listw, scan = FALSE, 
        nfposi = 3, nfnega = 2)
    summary(estuary.pca.ms)
    par(mfrow = c(1, 2))
    barplot(estuary.pca$eig)
    barplot(estuary.pca.ms$eig)
    par(mfrow = c(1, 1))
}
#> 
#> Multivariate Spatial Analysis
#> Call: adespatial::multispati(dudi = estuary.pca, listw = estuary.listw, 
#>     scannf = FALSE, nfposi = 3, nfnega = 2)
#> 
#> Scores from the initial duality diagram:
#>          var       cum     ratio        moran
#> RS1 4.401792  4.401792 0.2751120  0.222781944
#> RS2 3.133961  7.535753 0.4709846  0.217365304
#> RS3 1.818129  9.353883 0.5846177  0.004424936
#> RS4 1.379856 10.733739 0.6708587 -0.209208617
#> 
#> Multispati eigenvalues decomposition:
#>             eig      var      moran
#> CS1   1.5292058 3.707268  0.4124886
#> CS2   0.6486201 2.415632  0.2685095
#> CS3   0.4969485 1.126228  0.4412505
#> CS15 -0.2964507 1.648786 -0.1797994
#> CS16 -0.4623624 1.365391 -0.3386300