Camera-trap Encounter Simulation App
Version 4.11.0 | M.A. Cowan
Run simulation
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Survey system
Survey system type
Area / polygon array
Linear / track array
Area/polygon arrays simulate cameras distributed across a two-dimensional area. Linear/track arrays simulate cameras and movement along a linear feature such as a road, firebreak, fenceline, drainage line or linear feature.
Simulation purpose
Starting location mode
Random start each animal-day/night
Resident individuals: same approximate start location
Random-start simulation
Number of simulated animal-days/nights
Resident individuals
Number of resident individuals
Days/nights per individual
Minimum spacing between resident home centres (m)
Start-point variation around home location (m)
Constrain resident movement to home-range radius
Resident home-range radius (m)
Spatial inputs
Spatial mode
Generate square simulation area
Use uploaded boundary polygon
Upload boundary polygon
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Use uploaded camera point layer
Upload camera points
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Fallback CRS for uploads without a valid CRS
GDA2020 / MGA Zone 49 (EPSG:7849)
GDA2020 / MGA Zone 50 (EPSG:7850)
GDA2020 / MGA Zone 51 (EPSG:7851)
GDA2020 / MGA Zone 52 (EPSG:7852)
GDA94 / MGA Zone 49 (EPSG:28349)
GDA94 / MGA Zone 50 (EPSG:28350)
GDA94 / MGA Zone 51 (EPSG:28351)
GDA94 / MGA Zone 52 (EPSG:28352)
Web Mercator test fallback (EPSG:3857)
Generated camera array
Camera layout
Random constrained
Grid
Offset grid
Number of cameras
Camera spacing / minimum spacing (m)
Array area expansion factor
Grid dimensions
Automatic square-ish
User rows/columns
Grid rows
Grid columns
Random constrained uses spacing as a minimum distance. Automatic grid uses spacing between grid lines. If user rows/columns are selected, rows × columns overrides the number-of-cameras control; if a boundary excludes some positions, all valid grid points inside the boundary are used.
Linear camera array
Linear track length (m)
Number of cameras along line
Camera placement along line
Regular along line
Constrained random along line
Minimum distance between cameras along line (m)
Linear system half-width above/below line (m)
Map display half-width only (m)
End buffer beyond first/last camera (m)
Linear mode defines the landscape from the line. Use regular spacing to distribute cameras evenly, or constrained random placement to set a minimum along-line distance.
Uploaded camera array
Starting-area buffer around uploaded camera array (m)
Used only when camera points are uploaded without a boundary polygon. This internal, non-visible area controls where random starts and resident home centres can occur. It is not treated as a hard ecological boundary unless edge-constrained movement is selected.
Detection method
Use investigation radius instead of camera view wedge
Detection distance (m)
View angle (degrees)
Mean camera bearing (180 = south)
Bearing variation SD
Investigation / detection radius around camera point (m)
Track / line feature width (m)
Camera angle along line (0 = directly across, degrees)
Camera detection range (m)
Camera field of view (degrees)
Linear cameras are still directional cameras. They are placed at the edge of the line feature and face across the line, or up to 60 degrees along it. Detection range is often constrained by track width, but can be increased when cameras look partly down the track.
Movement
Movement type
Straight line
Meandering
Outward daily/nightly movement distance (m)
Movement step length (m)
Add return leg back to start/home area
Return-to-start tolerance (m)
Edge behaviour
Allow movement beyond camera-array area
Reflect back into array
Redirect along edge / back inward
Linear / track movement
Outward daily/nightly movement distance (m)
Start distance from line (m)
Movement step length (m)
Probability of continuing along the line at each step
Typical lateral meander envelope around line (m)
Probability of meandering back toward line at each step
Use hard maximum distance from line
Hard maximum distance from line (m)
Add return leg back to start/home area
Return-to-start tolerance (m)
This is line-focused meandering movement. Animals mostly progress along the line, with small lateral meanders away from it and a tendency to drift back. Smaller step lengths and smaller meander distances produce smoother, more realistic line-focused paths.
Advanced settings
Show all simulated paths on map (can be slow)
Number of paths shown on map
Detection sampling step along path (m)
Summary
Current settings
Simulation map
Encounter outcomes
Notes