COSha30map: Map of total soil carbon stock (t/ha) at 0-30 cm depth

In geospt: Geostatistical Analysis and Design of Optimal Spatial Sampling Networks

Map of total soil carbon stock (t/ha) at 0-30 cm depth

Description

Map of total soil carbon stock (t ha^{-1}) at 0-30 cm depth at La Libertad Research Center. The map was obtained through ordinary kriging interpolation. Spatial reference system: UTM 18N

Usage

data(COSha30map)

Format

The format is: Formal class 'SpatialPixelsDataFrame' [package "sp"]

Source

Santacruz, A., 2010. Design of optimal spatial sampling networks for the monitoring of soil organic carbon at La Libertad Research Center through the application of genetic algorithms. M.Sc. Thesis. National University of Colombia, Bogota. 162 p. (In Spanish)

References

Santacruz, A., Rubiano, Y., Melo, C., 2014. Evolutionary optimization of spatial sampling networks designed for the monitoring of soil carbon. In: Hartemink, A., McSweeney, K. (Eds.). Soil Carbon. Series: Progress in Soil Science. (pp. 77-84). Springer. [link]

Santacruz, A., 2011. Evolutionary optimization of spatial sampling networks. An application of genetic algorithms and geostatistics for the monitoring of soil organic carbon. Editorial Academica Espanola. 183 p. ISBN: 978-3-8454-9815-7 (In Spanish) [link]

See Also

COSha30

Examples

data(COSha30map)
data(lalib)
summary(COSha30map)
l1 = list("sp.polygons", lalib)
spplot(COSha30map, "var1.pred", main="Soil carbon stock (t/ha) at 0-30 cm depth", 
    col.regions=bpy.colors(100), scales = list(draw =TRUE), xlab ="East (m)", 
    ylab = "North (m)", sp.layout=list(l1))

geospt documentation built on Oct. 11, 2023, 1:07 a.m.