ltsk-package: Local Time Space Kriging

Description Details Author(s) References

Description

ltsk library is a collection of programs for implementing local spatial and local spatiotemporal Kriging. Unlike global Kriging, ltsk subsets the sample around a given location and time where predicted is needed; estimates variogram using the subset of sample data. Product-sum model is implemented and automatically estimated using the data points within the local neighbourhood. A unique advantage of ltsk is that it addresses non-stationarity, which is difficult to handle in large spatiotemporal dataset.

Details

Package: ltsk
Type: Package
Version: 1.0
Date: 2014-12-31
License: GPL2.0

Author(s)

Naresh Kumar (NKumar@med.miami.edu) Dong Liang (dliang@umces.edu) Jun chen (wdidwlia@gmail.com) Jin Chen (jc.chenjin@gmail.com)

References

Haas, Timothy C. "Local prediction of a spatio-temporal process with an application to wet sulfate deposition." Journal of the American Statistical Association 90.432 (1995): 1189-1199.

Iaco, S. De & Myers, D. E. & Posa, D., 2001. "Space-time analysis using a general product-sum model," Statistics & Probability Letters, Elsevier, vol. 52(1), pages 21-28, March.

Kumar, N., et al. (2013). "Satellite-based PM concentrations and their application to COPD in Cleveland, OH." Journal of Exposure Science and Environmental Epidemiology 23(6): 637-646.

Liang, D. and N. Kumar (2013). "Time-space Kriging to address the spatiotemporal misalignment in the large datasets." Atmospheric Environment 72: 60-69.


ltsk documentation built on Dec. 6, 2019, 1:07 a.m.