Copyright: Resource Systems Group, Inc. 2019

Title: Remote Sensing and Image Processing
Depends: raster, rgdal, rasterVis, ncdf4, sp
Description: Makes  operations with raster images, such as map
viewing in time series, export values in time series for specific, total or limited
within a polygon locations. Makes data processing of remote sensing of climatic variables distributed in the space (maps 2D) and the time (time series).

Packaged: Wed Nov  2 13:56:19 2011; yumikondo

Description: This package contains a function RSKC which runs the robust sparse K-means clustering algorithm.
Depends: flexclust, stats, R (>= 2.14.0)

Description: This RSKC package contains a function RSKC which runs the robust sparse K-means clustering algorithm.
Packaged: 2016-08-27 21:58:32 UTC; yumikondo

Title: Get Real-Time Meteorological Data in SMET Format
Description: It manages snow and weather local time series as provided by MeteoIO (<http://models.slf.ch/docserver/meteoio/html/index.html>, <http://www.slf.ch/ueber/organisation/schnee_permafrost/projekte/MeteoIO/index_EN>, <https://www.openhub.net/p/MeteoIO>). MeteoIO is a C/C++ Open Source library which "has been designed to accomodate both the needs of carefully crafted simulations for a specific purpose/study and for the needs of operational simulations that run automatically and unattended". It is integrated in physical spatially-distributed models and tackles several issues with weather input/output data. Here a SMET S4 class object is defined and can be imported from/ exported to a SMET ini files of MeteoIO , allowing interoperability from R to MeteoIO and other SMET-compliant software.

Description: It manages snow and weather local time series as provided by
<https://www.openhub.net/p/MeteoIO>). MeteoIO is a C/C++ Open Source library
which has been designed to settle both the needs of carefully crafted
simulations for a specific purpose/study and for the needs of operational
simulations that run automatically and unattended". It is integrated in physical
spatially-distributed models and tackles several issues with weather input/
output data. Here a SMET S4 class object is defined and can be imported from/
exported to a SMET ini files of MeteoIO , allowing interoperability from R to
MeteoIO and other SMET-compliant software.