Spatial data compression via adaptive dispersion clustering
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Publication:1662049
DOI10.1016/J.CSDA.2017.08.004zbMath1469.62120OpenAlexW2747517888WikidataQ104697026 ScholiaQ104697026MaRDI QIDQ1662049
Publication date: 17 August 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://ro.uow.edu.au/eispapers1/1992
Computational methods for problems pertaining to statistics (62-08) Inference from spatial processes (62M30) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to environmental and related topics (62P12)
Uses Software
Cites Work
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- An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
- Algorithm AS 136: A K-Means Clustering Algorithm
- A hybrid EM approach to spatial clustering
- Hierarchical spatial models for predicting tree species assemblages across large domains
- Non-negative exponential splines
- Spatial Statistics and Spatio‐Temporal Data
- Fixed Rank Kriging for Very Large Spatial Data Sets
- Fast Stable Direct Fitting and Smoothness Selection for Generalized Additive Models
- Gaussian Predictive Process Models for Large Spatial Data Sets
- A Full Scale Approximation of Covariance Functions for Large Spatial Data Sets
- Spatial Statistical Data Fusion for Remote Sensing Applications
- Gaussian Markov Random Fields
- Modeling Nonstationary Processes Through Dimension Expansion
- Covariance Tapering for Likelihood-Based Estimation in Large Spatial Data Sets
- Inference of a Hidden Spatial Tessellation from Multivariate Data: Application to the Delineation of Homogeneous Regions in an Agricultural Field
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