Topic: landscape structure analysis
| Tool | Description |
|---|---|
| r.li.cwed | Calculates contrast weighted edge density index on a raster map |
| r.li.dominance | Calculates dominance's diversity index on a raster map |
| r.li.edgedensity | Calculates edge density index on a raster map, using a 4 neighbour algorithm |
| r.li.mpa | Calculates mean pixel attribute index on a raster map |
| r.li.mps | Calculates mean patch size index on a raster map, using a 4 neighbour algorithm |
| r.li.padcv | Calculates coefficient of variation of patch area on a raster map |
| r.li.padrange | Calculates range of patch area size on a raster map |
| r.li.padsd | Calculates standard deviation of patch area a raster map |
| r.li.patchdensity | Calculates patch density index on a raster map, using a 4 neighbour algorithm |
| r.li.patchnum | Calculates patch number index on a raster map, using a 4 neighbour algorithm. |
| r.li.pielou | Calculates Pielou's diversity index on a raster map |
| r.li.renyi | Calculates Renyi's diversity index on a raster map |
| r.li.richness | Calculates richness index on a raster map |
| r.li.shannon | Calculates Shannon's diversity index on a raster map |
| r.li.shape | Calculates shape index on a raster map |
| r.li.simpson | Calculates Simpson's diversity index on a raster map |
See also the corresponding keyword for additional references:
landscape structure analysis
- Toolset for multiscale analysis of landscape patch structure - Toolset for multiscale analysis of landscape patch structure
- g.gui.rlisetup - wxGUI RLi Setup
- r.forestfrag - Computes the forest fragmentation index (Riitters et al. 2000)
- r.li.cwed - Calculates contrast weighted edge density index on a raster map
- r.li.dominance - Calculates dominance's diversity index on a raster map
- r.li.edgedensity - Calculates edge density index on a raster map, using a 4 neighbour algorithm
- r.li.mpa - Calculates mean pixel attribute index on a raster map
- r.li.mps - Calculates mean patch size index on a raster map, using a 4 neighbour algorithm
- r.li.padcv - Calculates coefficient of variation of patch area on a raster map
- r.li.padrange - Calculates range of patch area size on a raster map
- r.li.padsd - Calculates standard deviation of patch area a raster map
- r.li.patchdensity - Calculates patch density index on a raster map, using a 4 neighbour algorithm
- r.li.patchnum - Calculates patch number index on a raster map, using a 4 neighbour algorithm.
- r.li.pielou - Calculates Pielou's diversity index on a raster map
- r.li.renyi - Calculates Renyi's diversity index on a raster map
- r.li.richness - Calculates richness index on a raster map
- r.li.shannon - Calculates Shannon's diversity index on a raster map
- r.li.shape - Calculates shape index on a raster map
- r.li.simpson - Calculates Simpson's diversity index on a raster map
- r.pi.corr.mw - Moving window correlation analysis.
- r.pi.csr.mw - Complete Spatial Randomness analysis on moving window.
- r.pi.energy - Individual-based dispersal model for connectivity analysis - energy based.
- r.pi.energy.pr - Individual-based dispersal model for connectivity analysis (energy based) using iterative patch removal.
- r.pi.enn - Analysis of n-th Euclidean Nearest Neighbor distance.
- r.pi.enn.pr - Patch relevance for Euclidean Nearest Neighbor patches.
- r.pi.export - Export of patch based information.
- r.pi.fnn - Determines patches of given value and performs a nearest-neighbor analysis.
- r.pi.graph - Graph Theory for connectivity analysis.
- r.pi.graph.dec - Graph Theory - successive criteria-based deletion of patches.
- r.pi.graph.pr - Graph Theory - iterative removal (patch relevance analysis).
- r.pi.graph.red - Graph Theory - decreasing distance threshold option.
- r.pi.grow - Size and suitability based region growing.
- r.pi.import - Import and generation of patch raster data
- r.pi.index - Basic patch based indices
- r.pi.lm - Linear regression analysis for patches.
- r.pi.neigh - Neighbourhood analysis - value of patches within a defined range.
- r.pi.nlm - Creates a random generated map with values 0 or 1by given landcover and fragment count.
- r.pi.nlm.circ - Creates a random landscape with defined attributes.
- r.pi.nlm.stats - Neutral Landscape Generator - index statistics
- r.pi.odc - Omnidirectional connectivity analysis
- r.pi.prob.mw - Probability analysis of 2 random points being in the same patch.
- r.pi.prox - Calculates correlation of two raster maps by calculating correlation function of two corresponding rectangular areas for each raster point and writing the result into a new raster map.
- r.pi.rectangle - Generates a rectangle based on a corner coordinate.
- r.pi.searchtime - Individual-based dispersal model for connectivity analysis (time-based)
- r.pi.searchtime.mw - Individual-based dispersal model for connectivity analysis (time-based) using moving window
- r.pi.searchtime.pr - Individual-based dispersal model for connectivity analysis (time-based) using iterative removal of patches
- r3.forestfrag - Computes the forest fragmentation index (Riitters et al. 2000)