r.pi.energy - GRASS GIS manual

Note: This document is for an older version of GRASS GIS that will be discontinued soon. You should upgrade, and read the current manual page.

NAME

r.pi.energy - Individual-based dispersal model for connectivity analysis - energy based.

KEYWORDS

raster, landscape structure analysis, connectivity analysis

SYNOPSIS

r.pi.energy

r.pi.energy --help

r.pi.energy [-abdi] input=name [costmap=string] [suitability=string] output=name [out_immi=string] [immi_matrix=string] [mig_matrix=string] [binary_matrix=string] [threshold=float] keyval=integer step_length=integer [step_range=float] [perception=integer] [multiplicator=float] n=integer energy=float percent=float [out_freq=integer] [title="phrase"] [--overwrite] [--help] [--verbose] [--quiet] [--ui]

Flags:

-a: Set for 8 cell-neighbors. 4 cell-neighbors are default
-b: Set if individuals should be set back after leaving area
-d: Output diversity map
-i: Output Shannon- and Simpson-index
--overwrite: Allow output files to overwrite existing files
--help: Print usage summary
--verbose: Verbose module output
--quiet: Quiet module output
--ui: Force launching GUI dialog

Parameters:

input=name [required]: Name of input raster map
costmap=string: Name of the costmap
suitability=string: Name of the suitability raster with values from 0-100
output=name [required]: Name for output raster map
out_immi=string: Name of the optional raster file for patch immigrants count
immi_matrix=string: Name for immigrants matrix ASCII-file
mig_matrix=string: Name for migrants matrix ASCII-file
binary_matrix=string: Name for binary immigrants(migrants) matrix ASCII-file
threshold=float: Percentage of individuals which must have immigrated(migrated) successfully to be considered for the binary immigrants(migrants) matrix
keyval=integer [required]: Category value of the patches
step_length=integer [required]: Length of a single step measured in pixels
step_range=float: Range to choose the next step direction from, in degrees [default = 180°]
perception=integer: Perception range
multiplicator=float: Attractivity of patches [1-inf]
n=integer [required]: Number of individuals
energy=float [required]: Initial energy of the individuals
percent=float [required]: Percentage of finished individuals desired before simulation ends
out_freq=integer: Output an intermediate state of simulation each [out_freq] steps
title="phrase": Title for resultant raster map

DESCRIPTION
NOTES
EXAMPLE
SEE ALSO
AUTHORS

DESCRIPTION

Isolation or connectivity of singular patches of a defined landcover class using individual-based dispersal models. This function is based on a maximum amount of energy for each individuals dispersing through the landscape which is deminished by a fricition or cost map. Unlike the related function r.pi.energy does this function allows individuals to stay or move within a patch until the energy is depleted.

NOTES

Amount of successful immigrants or emigrants are not taken individual into account which emigrated from and immigrated into the same patch (pseudo immigration).

The suitability matrix impacts the step direction, while the costmap relates to the depletion of assigned energy.

If individuals are moving beyond the mapset borders the indivuals are set back to their original source patches.

EXAMPLE

An example for the North Carolina sample dataset: The amount of successful emigrants (*_emi), immigrants (*_imi), the percentage of immigrants per patch (*_imi_percent), the amount of lost indivuals (*_lost), the amount of migrants (*_mig), successful (*_mig_succ) and unsuccessful migrants (_mig_unsucc) can be retrieved using this command:

r.pi.energy input=landclass96 output=energy1 keyval=5 n=1000 step_length=5 energy=10 percent=80

introducing costs for movement results in different immigration counts:

r.mapcalc "cost_raster = if(landclass96==5,1,if(landclass96 == 1, 10, if (landclass96==3,2, if(landclass96==4,1,if(landclass96==6,100)))))"
r.pi.energy input=landclass96 output=energy1 keyval=5 n=1000 step_length=5 energy=10 percent=80 costmap=cost_raster

introducing a suitability for the movement:

# the suitability for the next step selection is defined as: class 5
# and 3 (forest and grassland) have a high suitability, while shrubland
# (class 4) only a moderate and water and developed areas (class 6 and 1)
# have a very low suitability:

r.mapcalc "suit_raster = if(landclass96==5,100,if(landclass96 == 3, 100, if (landclass96==1,1, if(landclass96==6,1,if(landclass96==4,50)))))"
r.pi.energy input=landclass96 output=energyiter3 keyval=5 n=1000 step_length=5 energy=10 percent=80 suitability=suit_raster

further settings can be changed and information retrieved: setting the perception range to 10 pixel:

r.pi.energy input=landclass96 output=energyiter keyval=5 n=1000 step_length=5 energy=10 percent=80 perception=10

increasing the attraction to move towards patches to 10:

r.pi.energy input=landclass96 output=energyiter keyval=5 n=1000 step_length=5 energy=10 percent=80 stats=average multiplicator=10

output of each movement location for a defined step frequency. Here every 10th step is provided as output raster:

r.pi.energy input=landclass96 output=energyiter keyval=5 n=1000 step_length=5 energy=10 percent=80 stats=average out_freq=10

AUTHORS

Programming: Elshad Shirinov
Scientific concept: Dr. Martin Wegmann
Department of Remote Sensing
Remote Sensing and Biodiversity Unit
University of Wuerzburg, Germany

Port to GRASS GIS 7: Markus Metz

SOURCE CODE

Available at: r.pi.energy source code (history)

Accessed: Thursday Nov 14 05:59:45 2024