We performed a systematic mapping of validation methods used in digital soil mapping
(DSM), in order to gain an overview of current practices and make recommendations for …

Abstract Knowledge about distribution of soil properties over the landscape is required for a
variety of land management applications and resources, modeling, and monitoring …

A methodological framework for spatial prediction based on regression-kriging is described
and compared with ordinary kriging and plain regression. The data are first transformed …

This exercise introduces geostatistical tools that can be used to analyze various types of
environmental data. It✹ is not intended as a complete analysis of the example data set …

Within the southern Ecuadorian Andes, landslides have an impact on landscape
development. Landslide risk estimation as well as hydrological modelling requires physical …

Topography is a major factor controlling both hydrological and soil processes at the
landscape scale. This is well-known qualitatively in that topography, along with parent …

Landforms and landscape context are of particular importance in understanding the
processes of soil genesis and soil formation in the spatial domain. Consequently, many …

Decision-making processes in agriculture often require reliable crop response models. The
Fujian province of China is a mountainous region where weather aberrations such as …

This study investigates the ability of different digital soil mapping (DSM) approaches to
predict some of physical and chemical topsoil properties in the Shahrekord plain of …

A regional analysis of the effects of soil and climate factors on wheat yield was performed in
the Argentine Pampas in order to obtain models suitable for yield estimation and regional …