spatial
spatial: Functions for Kriging and Point Pattern Analysis , Functions for kriging and point pattern analysis.
(Source: http://cran.r-project.org/web/packages)
Keywords for this software
References in zbMATH (referenced in 350 articles )
Showing results 1 to 20 of 350.
Sorted by year (- Dabo-Niang, Sophie; Thiam, Baba: Kernel regression estimation with errors-in-variables for random fields (2020)
- Haaf, Julia M.; Merkle, Edgar C.; Rouder, Jeffrey N.: Do items order? The psychology in IRT models (2020)
- Li, Chenlong; Song, Zhanjie; Wang, Wenjun: Space-time inhomogeneous background intensity estimators for semi-parametric space-time self-exciting point process models (2020)
- Li, Yang; Zhu, Zhengyuan: Spatio-temporal modeling of global ozone data using convolution (2020)
- Marklof, Jens: Pair correlation and equidistribution on manifolds (2020)
- Ogata, Yosihiko: Cluster analysis of spatial point patterns: posterior distribution of parents inferred from offspring (2020)
- Surgailis, Donatas: Scaling transition and edge effects for negatively dependent linear random fields on (\mathbbZ^2) (2020)
- van Lieshout, M. N. M.: Infill asymptotics and bandwidth selection for kernel estimators of spatial intensity functions (2020)
- Vejdemo-Johansson, Mikael; Leshchenko, Alisa: Certified mapper: repeated testing for acyclicity and obstructions to the nerve lemma (2020)
- Xu, Meng; Reiss, Philip T.: Distribution-free pointwise adjusted (p)-values for functional hypotheses (2020)
- Yousefi, Ali; Amidi, Yalda; Nazari, Behzad; Eden, Uri. T.: Assessing goodness-of-fit in marked point process models of neural population coding via time and rate rescaling (2020)
- Bouzebda, Salim; Slaoui, Yousri: Large and moderate deviation principles for recursive kernel estimators of a regression function for spatial data defined by stochastic approximation method (2019)
- Buryachenko, Valeriy A.: Computational homogenization in linear elasticity of peristatic periodic structure composites (2019)
- Li, Qiwei; Wang, Xinlei; Liang, Faming; Xiao, Guanghua: A Bayesian mark interaction model for analysis of tumor pathology images (2019)
- Lledó, Josep; Pavía, Jose M.; Morillas-Jurado, Francisco G.: Incorporating big microdata in life table construction: A hypothesis-free estimator (2019)
- Mahmoud, Hamdy F. F.; Kim, Inyoung: Semiparametric spatial mixed effects single index models (2019)
- Wikle, Christopher K.; Ver Hoef, Jay M.: A conversation with Noel Cressie (2019)
- Bivand, Roger S.; Wong, David W. S.: Comparing implementations of global and local indicators of spatial association (2018)
- Ceyhan, Elvan: A contingency table approach based on nearest neighbour relations for testing self and mixed correspondence (2018)
- Chen, Fen; Zou, Bin; Chen, Na: The consistency of least-square regularized regression with negative association sequence (2018)