Number of cameras đŻ#
Hint
If you only have a set number of cameras to deploy (e.g., 30), enter the number of cameras in the numeric field.
If you arenât limited by a certain number of cameras, select âNoâ and leave the numeric field blank.
If youâre unsure about how many cameras you have or you would like to see all of the options (irrelevant of the number of cameras; e.g., to be gauge your options and/or to determine the number of cameras you need), you can also select âNo.â
How does this relate to study design?
The number of cameras available will impact the appropriate modelling approaches (in combination with other aspects of your study, such as the detectability and/or rarity of your Target Species) or the number of covariates you hope to include in your models.
For example, 30 cameras may be enough to evaluate âoccupancyâ if your Target Species) is relatively common, however, if your target species is rare, more sites will be required in order for your estimates to be reasonably precise (Shannon et al., 2014; Kays et al., 2020; Wearn & Glover-Kapfer, 2017). More sites will be needed if covariates on occupancy or detection probability are to be added into models (Wearn & Glover-Kapfer, 2017).
See also
You can refer to Appendix A - Table A2 below from the Remote Camera Survey Guidelines (RCSC et al., 2024) to get a sense of the required number of cameras for each of the modelling approaches and according to the Survey Objective.
RCSC et al. (2024) - Appendix A - Table A2. Summary of appropriate study design, camera spacing, and survey effort (adapted from Wearn & Glover-Kapfer [2017] with additional references included) for various modelling approaches. Note: these guidelines use the best available information, however, there is uncertainty associated with each approach. To address this, the table contains âminimum,â âidealâ and âoftenâ used values, as well as qualifiers.
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