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

Spatial interpolation methods have been applied to many disciplines. Many factors affect the
performance of the methods, but there are no consistent findings about their effects. In this …

This study develops an integrated framework to guide the monitoring network optimization
and duration selection for solute transport in heterogeneous sand tank experiments. The …

Rainfall information is essential for many applications in develo** countries, and yet,
continually updated information at fine temporal and spatial scales is lacking. In Africa …

In this article, we used the inverse distance weighting (IDW) method to estimate the rainfall
distribution in the middle of Taiwan. We evaluated the relationship between interpolation …

We present a European land‐only daily high‐resolution gridded data set for precipitation
and minimum, maximum, and mean surface temperature for the period 1950–2006. This …

One of the most frequently used deterministic models in spatial interpolation is the inverse-
distance weighting (IDW) method. It is relatively fast and easy to compute, and …

ABSTRACT A new gridded rainfall dataset available for Peru is introduced, called PISCOp
V2. 1 (Peruvian Interpolated data of SENAMHI's Climatological and Hydrological …

Spatial continuous data (spatial continuous surfaces) play a significant role in planning, risk
assessment and decision making in environmental management. They are, however …

This comprehensive and well-established cartography textbook covers the theory and the
practical applications of map design and the appropriate use of map elements. It explains …