Geographically Weighted Regression (GWR) is increasingly used in spatial analyses of
social and environmental data. It allows spatial heterogeneities in processes and …

Spatially continuous data of environmental variables are often required for environmental
sciences and management. However, information for environmental variables is usually …

Random forest and similar Machine Learning techniques are already used to generate
spatial predictions, but spatial location of points (geography) is often ignored in the modeling …

Micronutrient deficiencies (MNDs) remain widespread among people in sub-Saharan
Africa,,,–, where access to sufficient food from plant and animal sources that is rich in …

Many environmental scientists are analysing spatial data by geostatistical methods and
interpolating from sparse sample data by kriging to make maps. They recognize its merits in …

This Brief takes readers, in particular environmental scientists, through the important steps of
a geostatistical analysis. Most properties of the environment, such as rainfall, plant nutrients …

地统计学是空间统计学领域中一种独具特色的方法. 过去它仅用来处理一些特定的问题(如克里
金空间插值) 和特定类型的空间数据(连续空间中定义的属性数据). 由于所处理数据类型的特性 …

The continuum hypothesis states that both deterministic and stochastic processes contribute
to the assembly of ecological communities. However, the contextual dependency of these …

Abstract Digital Soil Mapping (DSM) products are simplified representations of more
complex and partially unknown patterns of soil variations. Therefore, any prediction of a soil …

Geostatistics is essential for environmental scientists. Weather and climate vary from place
to place, soil varies at every scale at which it is examined, and even man-made attributes …