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8 projects in result set.
0. T-LoCoH - T-LoCoH is a method for constructing home ranges and exploring spatio-temporal patterns in movement data. Tailored for GPS data, it can produce maps of time use and behavior indices. General purpose functions including data cleaning and animations.
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- Development Status : 4 - Beta [Filter]
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- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
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- Topic : Time Series [Filter]
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Registered: 2013-03-12 23:47 |
1. kOO k-spatial co-occurrence analysis - The project aims at building an R package to implement and develop a published methodology analysing data from order k (k>=2) co-occurrences of events for spatial analysis of multivariate marked processes (point and areal).
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- Topic : Cluster Analysis [Filter]
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Registered: 2012-06-08 08:56 |
2. rGEDI - rGEDI: NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing
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- Development Status : 4 - Beta [Filter]
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- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
- Topic : Spatial Data & Statistics : Point Pattern Analysis [Filter]
- Topic : Spatial Data & Statistics : Reading and Writing Spatial Data [Filter]
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Registered: 2020-03-12 20:57 |
3. move: analyze animal movement data - move is a package that contains functions to access movement data stored in movebank.org as well as tools to visualize and statistically analyse animal movement data. Move addresses movement ecological questions.
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- Development Status : 4 - Beta [Filter]
- Environment : Console (Text Based) [Filter]
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- Natural Language : German [Filter]
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- Programming Language : C/C\+\+ [Filter]
- Programming Language : Fortran [Filter]
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- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
- Topic : Spatial Data & Statistics : Point Pattern Analysis [Filter]
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Registered: 2012-03-28 07:52 |
4. Point Process Statistics - This package implements statistical methods for one-dimensional marked
point process models.
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- Development Status : 4 - Beta [Filter]
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- Topic : Machine Learning : Model Selection and Validation [Filter]
- Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]
- Topic : Spatial Data & Statistics : Point Pattern Analysis [Filter]
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Registered: 2010-08-05 07:40 |
5. TreeHotspots - Classification trees can identify multiple clusters at many different scales at various angles.
We find "hotspots", i.e. regions of high and low densities or rates w.r.t. some baseline.
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- Development Status : 3 - Alpha [Filter]
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- Topic : Cluster Analysis : Partitioning Clustering [Filter]
- Topic : Spatial Data & Statistics : Disease Mapping and Areal Data Analysis [Filter]
- Topic : Spatial Data & Statistics : Point Pattern Analysis [Filter]
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Registered: 2016-03-16 13:24 |
6. NeuroSpatCo - The package is used to search for patterns of organization in human prefrontal cortex of both horizontal (cell body) and vertical plane (minicolumns).
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- Programming Language : Tcl [Filter]
- Topic : Cluster Analysis : Other Cluster Algorithms [Filter]
- Topic : Design of Experiments & Analysis of Experimental Data [Filter]
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Registered: 2011-05-10 20:54 |
7. Spatial point patterns and fda methods - - Permutation tests, and envelopes, for functional data,
- Analysis of spatial point processes, in particular inhomogeneous spp,
- Simple handling of parameter lists for plot functions
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- Development Status : 4 - Beta [Filter]
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Registered: 2013-09-29 09:55 |
