COSha10map {geospt} | R Documentation |
Map of total soil carbon stock (t ha^{-1}
) at 0-10 cm depth at La Libertad Research Center. The map was obtained through ordinary kriging interpolation. Spatial reference system: UTM 18N
data(COSha10map)
The format is: Formal class 'SpatialPixelsDataFrame' [package "sp"]
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)
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]
data(COSha10map)
data(lalib)
summary(COSha10map)
l1 = list("sp.polygons", lalib)
spplot(COSha10map, "var1.pred", main="Soil carbon stock (t/ha) at 0-10 cm depth",
col.regions=bpy.colors(100), scales = list(draw =TRUE), xlab ="East (m)",
ylab = "North (m)", sp.layout=list(l1))