A list with a short description of the *r.pi* modules can be found
below. More in depth description of a certain module (commands, flags,
options) can be found in the respective folder (like
*r.pi.graph*). The functions/algorithms
of the modules are not yet very extensive but will be expanded in the
future. Please submit any bug/feature you might encounter to improve the
functionality.

The program will interactively query the user for input, output and options (GUI). However the module can be also run from the terminal prompt (CLI) and might be implemented in e.g. a bash-script.

It is highly recommended to read the help pages or e.g the overview documents of Fragstats to get a better impression of problems, possibilities and caveats.

**r.pi.index**: Calculations of basic indices (area, SHAPE etc.)**r.pi.enn**: Area, SHAPE and distance to n-th Euclidean Nearest Neighbor**r.pi.fnn**: Area, SHAPE and distance to n-th Functional Nearest Neighbor**r.pi.grow**: Size and suitability based region growing**r.pi.odc**: Area and distance to omnidirectional n-th Nearest Neighbors**r.pi.neigh**: Extraction of values of patches in defined buffer region**r.pi.prox**: Calculation of Proximity and Modified Proximity Index for patches in buffer region**r.pi.graph**: Various connectivity indices within the Graph Theory**r.pi.graph.pr**: Graph Theory - iterative removal (patch relevance analysis)

**r.pi.searchtime**: Searchtime and Immigration rate**r.pi.searchtime.mw**: Individual-based dispersal model for connectivity analysis (time-based) using moving window**r.pi.energy**: Immigration, Migration and successfull emigration rate**r.pi.searchtime.mw**: Related to*r.pi.searchtime*but using a Moving Windows approach

**r.pi.enn.pr**: Patch relevance for Euclidean nearest neighbor patches**r.pi.searchtime.pr**: Relevance of patches for maintenance of searchtime**r.pi.energy.pr**: Relevance of patches for maintenance of immigration rate**r.pi.graph.red**: Graph Theory - decreasing distance threshold option**r.pi.graph.dec**: Graph Theory - successive criteria-based deletion of patches

**r.pi.nlm**: Generation of a neutral landscape (fractal)**r.pi.nlm.stats**: Statistical analysis of landscapes based on permutation of neutral landscapes**r.pi.nlm.circ**: Generation of a neutral landscape (circular)

**r.pi.corearea**: Calculation of core area based on costmatrix**r.pi.csr.mw**: Complete Spatial Randomness analysis on moving window.**r.pi.prob.mw**: Probability of two random points being in the same patch**r.pi.rectangle**: Generation of rectangles based on coordinate points**r.pi.import**: Import of values to corresponding patches**r.pi.export**: Export of values from patches**r.pi.lm**: Linear regression analysis for patches**r.pi.corr.mw**: Moving window correlation between two raster maps

# generate random landscape with 50% cover r.pi.nlm output=NLM_in landcover=50 sharpness=0.5 # use the class 1 of the above generated landscape for computation of SHAPE-Index r.pi.index input=NLM_in keyval=1 output=NLM_in.shape method=shape

# generate random landscape with 50% cover r.pi.nlm output=NLM_in landcover=50 sharpness=0.5 # first NN r.pi.index input=NLM_in keyval=1 output=NLM_in.enn1 method=ENN # 10th NN r.pi.enn input=NLM_in output=NLM_in.enn10 method=distance number=10 # 1-10th NN r.pi.enn input=NLM_in output=NLM_in.enn10 method=distance number=1-10

- Wegmann, M., Leutner, B. F., Metz, M., Neteler, M., Dech, S., & Rocchini, D. (2018).
*r. pi: A grass gis package for semiāautomatic spatial pattern analysis of remotely sensed land cover data.*Methods in Ecology and Evolution, 9(1), 191-199. https://doi.org/10.1111/2041-210X.12827

Scientific concept: Martin Wegmann

Department of Remote Sensing

University of Wuerzburg, Germany

Port to GRASS GIS 7: Markus Metz

Documentation improvements: Markus Neteler

Available at: r.pi source code (history)

Latest change: Monday Nov 11 18:04:48 2024 in commit: 59e289fdb093de6dd98d5827973e41128196887d

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