Extending R packages to support 64-bit compiled code: An illustration with spam64 and GIMMS NDVI 3g data-Reference-Cited by-同舟云学术

Extending R packages to support 64-bit compiled code: An illustration with spam64 and GIMMS NDVI 3g data

Published:2017-07 Issue: Volume:104 Page:109-119
ISSN:0098-3004
Container-title:Computers & Geosciences
language:en
Short-container-title:Computers & Geosciences

Author:

Gerber Florian,Mösinger Kaspar,Furrer Reinhard

Funder

University of Zurich Research Priority Program

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Information Systems

Reference51 articles.

1. Gaussian predictive process models for large spatial data sets;Banerjee;J. R. Statist. Soc. B,2008

2. Estimating space and space-time covariance functions for large data sets: a weighted composite likelihood approach;Bevilacqua;J. Am. Statist. Assoc.,2012

3. Bivand, R.S., Pebesma, E., Gomez-Rubio, V., 2013. Applied Spatial Data Analysis with R, Second edition. Springer, NY. URL 〈http://www.asdar-book.org/〉.

4. Bivand, R., Keitt, T., Rowlingson, B., 2016. rgdal: Bindings for the Geospatial Data Abstraction Library. URL 〈http://CRAN.R-project.org/package=rgdal〉. R package version 1.1-10.

5. Bivand, R., 2016. CRAN task view: Analysis of spatial data. URL 〈http://CRAN.R-project.org/view=Spatial〉. version~2016-09-07.

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