CRAN/E | remotePARTS

remotePARTS

Spatiotemporal Autoregression Analyses for Large Data Sets

Installation

About

These tools were created to test map-scale hypotheses about trends in large remotely sensed data sets but any data with spatial and temporal variation can be analyzed. Tests are conducted using the PARTS method for analyzing spatially autocorrelated time series (Ives et al., 2021: doi:10.1016/j.rse.2021.112678). The method's unique approach can handle extremely large data sets that other spatiotemporal models cannot, while still appropriately accounting for spatial and temporal autocorrelation. This is done by partitioning the data into smaller chunks, analyzing chunks separately and then combining the separate analyses into a single, correlated test of the map-scale hypotheses.

github.com/morrowcj/remotePARTS
Bug report File report

Key Metrics

Version 1.0.4
R ≥ 4.0
Published 2023-09-15 387 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks remotePARTS results

Downloads

Yesterday 5 0%
Last 7 days 41 -29%
Last 30 days 227 +1%
Last 90 days 662 +1%
Last 365 days 2.723 +1138%

Maintainer

Maintainer

Clay Morrow

Authors

Clay Morrow

aut / cre

Anthony Ives

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

Alaska

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 4.0

Imports

stats
geosphere ≥ 1.5.10
Rcpp ≥ 1.0.5
CompQuadForm
foreach
parallel
iterators
doParallel

Suggests

dplyr ≥ 1.0.0
data.table
knitr
rmarkdown
markdown
sqldf
devtools
ggplot2
reshape2
sf

LinkingTo

Rcpp
RcppEigen