Just some notes on the R code used for producing the map on my previous entry about erosion rates across the World. Sometimes, when one has a lot of points to represent on a map, they overlap in excess resulting in an over-cluttered representation that does not adequately inform about the density of points. This was the case […]
Archivos de la categoría: Geographic Information Science
How using gridded data sets may lead to wrong conclusions about changes in climate variability
When addressing climate change and climate variability over large regions, gridded data are often preferred to station-based data because they help avoiding bias arising from the irregular spatial distribution of the observations. Gridded data refers here to spatially interpolated values from a finite set of spatially scattered individual observations, usually on a regular mesh of points or cells. Spatial interpolation […]
Modeling the spatial distribution of soil properties by Generalized Least Squares regression
Assessing the spatial distribution of soil properties has achieved considerable interest among soil scientists, both for testing hypotheses about the soil formation processes and for predicting the properties of soils at non-sampled locations (mapping). In our article recently accepted for publication in Journal of Soil and Water Conservation we discuss the main approaches to modeling […]
