Cargando…
Ising Model for Interpolation of Spatial Data on Regular Grids
We apply the Ising model with nearest-neighbor correlations (INNC) in the problem of interpolation of spatially correlated data on regular grids. The correlations are captured by short-range interactions between “Ising spins”. The INNC algorithm can be used with label data (classification) as well a...
Autores principales: | Žukovič, Milan, Hristopulos, Dionissios T. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535049/ https://www.ncbi.nlm.nih.gov/pubmed/34681994 http://dx.doi.org/10.3390/e23101270 |
Ejemplares similares
-
Spatial Modeling of Precipitation Based on Data-Driven Warping of Gaussian Processes
por: Agou, Vasiliki D., et al.
Publicado: (2022) -
Nonlinear Kinetics on Lattices Based on the Kinetic Interaction Principle
por: Kaniadakis, Giorgio, et al.
Publicado: (2018) -
Kaniadakis Functions beyond Statistical Mechanics: Weakest-Link Scaling, Power-Law Tails, and Modified Lognormal Distribution
por: Hristopulos, Dionissios T., et al.
Publicado: (2022) -
A high-resolution daily gridded meteorological dataset for Serbia made by Random Forest Spatial Interpolation
por: Sekulić, Aleksandar, et al.
Publicado: (2021) -
Interpolation of spatial data : some theory for kriging /
por: Stein, Michael Leonard
Publicado: (1999)