Spatial patterns and temporal trends of trace elements in mosses from 1990 to 2020 in Germany

Environmental Sciences Europe

Table 7 Estimation method and model parameters

Element	n	Vk	Sk	Method	Transformation	lambda	Model	Lag size	No of lags	Sectortype	Max. neighbours	Range
As	26	55.61	0.91	Ordinary	Log	–	Exponential	40,000	15	4 (45° offset)	10	305
Cd	26	39.30	0.38	Ordinary	–	–	Spherical	25,000	18	4 (45° offset)	10	228
Cu	19	21.39	0.73	Ordinary	–	–	Spherical	55,000	12	4 (45° offset)	10	271
Ni	26	57.36	1.15	Ordinary	Log	–	Spherical	42,000	18	4 (45° offset)	10	386
Pb	26	90.83	1.62	Ordinary	Log	–	Spherical	20,000	18	4 (45° offset)	10	137
Sb	26	37.26	2.03	Ordinary	Log	–	Spherical	12,000	36	4 (45° offset)	10	224

n sample size, Vk relative coefficient of variation [%], Sk skewness, Method Kriging method, transformation Method for transforming the target variable (* = significant); lambda Parameter of the Box-Cox transformation, Model Variogram model used, Lag size Size of the distance classes, No of Lags Number of distance classes, Sector type Neighbourhood parameter for splitting the search window, Max. Neighbors Maximum number of sample sites in the search window, Range Range of the spatial autocorrelation [km]