Top Tweets for #RandomEncounterModel

cameratraps @cameratraps1

over 6 years ago

New work comparing #cameratrap monitoring methods. In this case, testing the performace of #REM, an useful method to estimate population density of #unmarked #species. #RandomEncounterModel #SECR #trailcam #wildlife #research

MSEC Lab @MSEC_WSU

over 6 years ago

We found a strong correlation between #SpatialCaptureRecapture models (true density) and camera based density estimates following the #RandomEncounterModel. The REM consistently underestimated density by ~28% and was sensitive to animal speed.#science @WSUPullman @ConservationNW

MSEC_WSU's tweet photo. We found a strong correlation between #SpatialCaptureRecapture models (true density) and camera based density estimates following the #RandomEncounterModel. The REM consistently underestimated density by ~28% and was sensitive to animal speed.#science @WSUPullman @ConservationNW https://t.co/5JJUPbi1NQ

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MSEC Lab @MSEC_WSU

over 6 years ago

We found a strong correlation between #SpatialCaptureRecapture models (true density) and camera based density estimates following the #RandomEncounterModel. The REM consistently underestimated density by ~28% and was sensitive to animal speed.#science @WSUPullman @ConservationNW

MSEC_WSU's tweet photo. We found a strong correlation between #SpatialCaptureRecapture models (true density) and camera based density estimates following the #RandomEncounterModel. The REM consistently underestimated density by ~28% and was sensitive to animal speed.#science @WSUPullman @ConservationNW https://t.co/5JJUPbi1NQ

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