disaggregation (0.1.3)

0 users

Disaggregation Modelling.


Fits disaggregation regression models using 'TMB' ('Template Model Builder'). When the response data are aggregated to polygon level but the predictor variables are at a higher resolution, these models can be useful. Regression models with spatial random fields. A useful reference for disaggregation modelling is Lucas et al. (2019) .

Maintainer: Anita Nandi
Author(s): Anita Nandi [aut, cre] (<https://orcid.org/0000-0002-5087-2494>), Tim Lucas [aut] (<https://orcid.org/0000-0003-4694-8107>), Rohan Arambepola [aut], Andre Python [aut] (<https://orcid.org/0000-0001-8094-7226>)

License: MIT + file LICENSE

Uses: cowplot, doParallel, dplyr, foreach, ggplot2, maptools, Matrix, raster, rgdal, rgeos, sp, sparseMVN, splancs, TMB, testthat, SpatialEpi, knitr, rmarkdown

Released 6 days ago.

3 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of disaggregation yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for disaggregation on google, google scholar, r-help, r-devel.

Visit disaggregation on R Graphical Manual.