A Distance-based Method for Spatial Prediction in the Presence of Trend-Reference-Cited by-同舟云学术

A Distance-based Method for Spatial Prediction in the Presence of Trend

Published:2020-06-01 Issue:3 Volume:25 Page:315-338
ISSN:1085-7117
Container-title:Journal of Agricultural, Biological and Environmental Statistics
language:en
Short-container-title:JABES

Author:

Melo Carlos E.^ORCID,Mateu Jorge^ORCID,Melo Oscar O.^ORCID

Funder

Spanish Ministry of Science and Education

Applied Statistics in Experimental Research, Industry and Biotechnology

Core Spatial Data Research

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,Agricultural and Biological Sciences (miscellaneous),General Environmental Science,Statistics and Probability

Link

https://link.springer.com/content/pdf/10.1007/s13253-020-00395-2.pdf

Reference26 articles.

1. Armstrong, M. and Diamond, P. (1984), ‘Testing variograms for positive-definiteness’, Mathematical Geology16, 407–421.

2. Bardossy, A., Haberlandt, U. and Grimm-Strele, J. (1997), Interpolation of groundwater quality parameters using additional information, Technical report, In GeoENV I (Geostatistics for Environmental Applications), 189-200, Kluwer Academic Publ., Dordrecht.

3. Bivand, R., Pebesma, E. and Rubio, V. (2008), Applied Spatial Data Analysis with R, Springer, New York.

4. Capeche, C. L., Macedo, J. R., Manzatto, H. R. H. and Silva, E. F. (1997), Caracterização pedológica da fazenda angra - pesagro/rio, Technical report, Technical Report: Estação experimental de Campos (RJ). In Informação, globalização, uso do solo, Rio de Janeiro.

5. Cressie, N. (1993), Statistics for Spatial Data, Revised Edition. John Wiley & Sons Inc., New York.