Title: Network Dynamic Temporal Visualizations
Depends: R (>= 3.0), network (>= 1.13),networkDynamic (>=
Imports: MASS, statnet.common, jsonlite, base64
Suggests: tergm (>= 3.1), tsna, testthat, knitr, htmlwidgets,
Description: Renders dynamic network data from 'networkDynamic' objects as movies, interactive animations, or other representations of changing relational structures and attributes.
Packaged: 2016-05-06 19:40:27 UTC; rpackagebuilder

Suggests: tergm (>= 3.6), tsna, testthat, knitr, htmlwidgets,

Suggests: tergm (>= 3.6), ergm, tsna, testthat, knitr, htmlwidgets,

Authors@R: c( person("Skye", "Bender-deMoll", role=c("cre","aut"),
Depends: R (>= 2.15), network (>= 1.7.2),networkDynamic (>=
Description: Renders dynamic network data from networkDynamic objects
as animated movies or other representations of relational
structure and node attributes that change over time.
Author: Skye Bender-deMoll [cre, aut], Martina Morris [ctb]

Description: Renders dynamic network data from networkDynamic objects as animated movies or other representations of relational structure and node attributes that change over time.

Depends: R (>= 3.0), network (>= 1.8),networkDynamic (>=
Packaged: 2013-12-04 07:14:54 UTC; rpackagebuilder

Depends: R (>= 3.0), network (>= 1.9),networkDynamic (>=
Packaged: 2014-01-30 12:59:52 UTC; rpackagebuilder

Depends: R (>= 3.0), network (>= 1.12),networkDynamic (>=
Suggests: tergm (>= 3.1), testthat, knitr
Description: Renders dynamic network data from "networkDynamic" objects as animated movies or other representations of relational structure and node attributes that change over time.
Packaged: 2015-04-29 23:27:02 UTC; rpackagebuilder

Suggests: tergm (>= 3.1), tsna,testthat, knitr, htmlwidgets,
Packaged: 2015-10-14 22:32:58 UTC; rpackagebuilder

Packaged: 2015-12-02 12:50:27 UTC; rpackagebuilder

Packaged: 2016-02-22 13:22:45 UTC; rpackagebuilder

Title: NDVI Time series extraction and analysis
Depends: R (>= 2.10), gstat, rgdal, bfast, RTisean, RColorBrewer,
Description: The routines extract automatically, for area of interest,
Normalized Difference Vegetation Index (NDVI) time series from
different optical satellite instruments (AVHRR, Spot
Vegetation) and to provide tools to display and analyze the
time series.Functions have been developed to study landscapes
and more especially to detect changes in land use land cover.
Phenological metrics can be computed for every season as well