Title: Quantitative Analysis and Visualization of LUCC
Description: Tools for the analysis of land use and cover (LUC) time series. It
includes support for loading spatiotemporal raster data and synthesized
spatial plotting. Several LUC change (LUCC) metrics in regular or irregular
time intervals can be extracted and visualized through one- and multistep
sankey and chord diagrams. A complete intensity analysis according to
Aldwaik and Pontius (2012) <doi:10.1016/j.landurbplan.2012.02.010> is
implemented, including tools for the generation of standardized multilevel
gridExtra (>= 2.3), grid, circlize (>= 0.4.8), networkD3 (>=
Suggests: tmap, knitr, rmarkdown, covr, testthat
Author: Reginal Exavier [aut, cre] (<https://orcid.org/0000-0002-5237-523X>),

Title: Exploring Machine Learning Better, Together
Description: OpenML.org is an online machine learning platform where researchers can automatically
share data, code, and experiments, and organize them online to work and collaborate more effectively.
We provide a R interface to the OpenML API in order to download and upload data sets,
tasks, flows and runs, see http://www.openml.org/guide for more information.
Suggests: testthat, randomForest, rpart, RWeka, farff, mboost, knitr,
Imports: backports (>= 1.0.3), BBmisc (>= 1.10), checkmate (>= 1.8.1),
ParamHelpers (>= 1.9), data.table, digest, httr, stringi, XML,
jsonlite, memoise (>= 1.0.0), stats, curl

Description: 'OpenML.org' is an online machine learning platform where researchers can
automatically share data, machine learning tasks and experiments and organize them
online to work and collaborate more effectively.
We provide a R interface to the OpenML REST API in order to download and upload data
sets, tasks, flows and runs, see <http://www.openml.org/guide> for more information.

Title: Open Machine Learning and Open Data Platform
Description: We provide an R interface to 'OpenML.org' which is an online machine learning platform where researchers can access open data, download and upload data sets, share their machine learning tasks and experiments and organize them online to work and collaborate with other researchers.
The R interface allows to query for data sets with specific properties, and allows the downloading and uploading of data sets, tasks, flows and runs.
See <https://www.openml.org/guide/api> for more information.
Suggests: testthat, mlr (>= 2.15), ParamHelpers (>= 1.10),
randomForest, rpart, RWeka, xml2, farff, knitr, rmarkdown,
Imports: backports (>= 1.1.0), BBmisc (>= 1.11), checkmate (>= 1.8.2),
data.table, digest, httr (>= 1.4.1), stringi, XML, jsonlite,