Abstract: The spatial structures displayed by remote sensing imagery are essential information characterizing the nature and the scale of spatial variation of Earth surface processes. This paper ...
Abstract: Semi-variogram estimators and distortion measures of signal spectra are utilized in this paper for image texture retrieval. On the use of the complete Brodatz database, most high retrieval ...
The code supports 2D and 3D ordinary and universal kriging. Standard variogram models (linear, power, spherical, gaussian, exponential) are built in, but custom variogram models can also be used. The ...
Experimental variogram modelling is an essential process in geostatistics. The use of artificial intelligence (AI) is a new and advanced way of automating experimental variogram modelling. One part of ...
Domaining plays a significant role when major statistical or geostatistical variations are observed across a site, which can influence the results of spatial modeling. In this paper, hard and fuzzy ...
Tropical forests play a crucial role in mediating the global carbon cycle and climate. Southeast Asian tropical forests are experiencing ongoing threats of deforestation and degradation. There is an ...
Package provides methodology for automated mapping i.e. spatial interpolation and/or prediction using Ensemble Machine Learning (extends functionality of the mlr package). Key functionality includes: ...
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