Agent Analysis
library(alcyon)
#> Loading required package: sf
#> Linking to GEOS 3.11.1, GDAL 3.6.2, PROJ 9.1.1; sf_use_s2() is TRUE
#> Loading required package: stars
#> Loading required package: abind
galleryMap <- st_read(
system.file(
"extdata", "testdata", "gallery",
"gallery_lines.mif",
package = "alcyon"
),
geometry_column = 1L, quiet = TRUE
)
pointMap <- makeVGAPointMap(
galleryMap,
fillX = 3.01,
fillY = 6.7,
gridSize = 0.06
)
plot(pointMap["Connectivity"])
![](data:image/png;base64,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)
agentAnalysis <- agentAnalysis(pointMap,
timesteps = 10000,
releaseRate = 0.1,
agentLifeTimesteps = 1000,
agentFov = 16,
agentStepsToDecision = 3,
agentLookMode = AgentLookMode$Standard
)
plot(agentAnalysis$pointMap["Gate Counts"])
![](data:image/png;base64,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)
agentAnalysis <- agentAnalysis(pointMap,
timesteps = 10000,
releaseRate = 0.1,
agentLifeTimesteps = 1000,
agentFov = 16,
agentStepsToDecision = 3,
agentLookMode = AgentLookMode$Standard,
numberOfTrails = 50
)
plot(agentAnalysis$trailMap)
![](data:image/png;base64,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)