Software Map
Project Tree
Now limiting view to projects in the following categories:
Operating System :: POSIX :: Linux [Remove This Filter]
Topic :: Spatial Data & Statistics [Remove This Filter]
Intended Audience :: Developers [Remove This Filter]
2 projects in result set.
0. greenbrown - greenbrown is a collection of functions to analyse trends, trend changes and phenology in gridded time series like from satellite observations or climate model simulations. |
- Development Status : 4 - Beta [Filter]
- Intended Audience : Developers (Now Filtering)
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Natural Language : German [Filter]
- Operating System : MacOS [Filter]
- Operating System : Microsoft [Filter]
- Operating System : POSIX : Linux (Now Filtering)
- Programming Language : R [Filter]
- Topic : Spatial Data & Statistics (Now Filtering)
- Topic : Time Series [Filter]
|
Activity Percentile: 0.00
Registered: 2013-02-27 17:37 |
1. SpatialExtremes - The SpatialExtremes package aims to develop tools for the modeling of spatial extremes. The knowledge of the univariate/multivariate distribution of extremes is not enough. This package will try to fill this gap. |
- Development Status : 5 - Production/Stable [Filter]
- Intended Audience : Developers (Now Filtering)
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Natural Language : French [Filter]
- Operating System : MacOS [Filter]
- Operating System : Microsoft [Filter]
- Operating System : POSIX : Linux (Now Filtering)
- Programming Language : C/C\+\+ [Filter]
- Programming Language : Fortran [Filter]
- Programming Language : R [Filter]
- Topic : Multivariate Statistics : Latent Variable Approaches [Filter]
- Topic : Other/Nonlisted Topic [Filter]
- Topic : Spatial Data & Statistics (Now Filtering)
|
Activity Percentile: 0.00
Registered: 2008-10-04 11:03 |