Workshop (Tues full day): Beginner Distance Sampling: Abundance Estimation in R
Date: Tuesday, March 4, 2025
Time: 8:00 AM - 5:00 PM (lunch not provided)
Size: Limited to 40 participants
Instructors: Trent McDonald (McDonald Data Sciences), Jason Carlisle (WGFD), Embere Hall (WGFD)
Description: Estimating population abundance is a fundamental task in wildlife biology. Distance-sampling, implemented as line-transects or point-transects, is one of two primary abundance methods in wildlife science, the other being capture-recapture. Distance-sampling estimates abundance by correcting for detection that declines with increasing distance between observer and target. The workshop will familiarize participants with methods for distance-sampling analysis using Program R, and equip participants with the ability to identify and implement appropriate methods for a given study design. Participants will gain hands-on exposure to conventional distance-sampling models using the R package Rdistance. The workshop will conclude with time reserved for participants to analyze real-world data (either their own or instructor-provided), with help from the instructors or fellow students. The workshop is designed for managers, researchers, and students with a basic understanding of statistics and working familiarity with Program R. Someone who knows how to subset a data.frame, fit and work with lm and/or glm model objects in Program R should have the necessary skills. We invite those unfamiliar with R to enroll in this workshop, and then to utilize free, online tutorials to become familiar with R ahead of time. Participants should bring a laptop.
THIS IS A FULL-DAY WORKSHOP AND CAN, THEREFORE, NOT BE COMBINED WITH ANY OTHER WORKSHOPS
To checkout, after adding all items to your cart, click the shopping cart icon in the upper right corner of your screen/ the web page header.
Date: Tuesday, March 4, 2025
Time: 8:00 AM - 5:00 PM (lunch not provided)
Size: Limited to 40 participants
Instructors: Trent McDonald (McDonald Data Sciences), Jason Carlisle (WGFD), Embere Hall (WGFD)
Description: Estimating population abundance is a fundamental task in wildlife biology. Distance-sampling, implemented as line-transects or point-transects, is one of two primary abundance methods in wildlife science, the other being capture-recapture. Distance-sampling estimates abundance by correcting for detection that declines with increasing distance between observer and target. The workshop will familiarize participants with methods for distance-sampling analysis using Program R, and equip participants with the ability to identify and implement appropriate methods for a given study design. Participants will gain hands-on exposure to conventional distance-sampling models using the R package Rdistance. The workshop will conclude with time reserved for participants to analyze real-world data (either their own or instructor-provided), with help from the instructors or fellow students. The workshop is designed for managers, researchers, and students with a basic understanding of statistics and working familiarity with Program R. Someone who knows how to subset a data.frame, fit and work with lm and/or glm model objects in Program R should have the necessary skills. We invite those unfamiliar with R to enroll in this workshop, and then to utilize free, online tutorials to become familiar with R ahead of time. Participants should bring a laptop.
THIS IS A FULL-DAY WORKSHOP AND CAN, THEREFORE, NOT BE COMBINED WITH ANY OTHER WORKSHOPS
To checkout, after adding all items to your cart, click the shopping cart icon in the upper right corner of your screen/ the web page header.
Date: Tuesday, March 4, 2025
Time: 8:00 AM - 5:00 PM (lunch not provided)
Size: Limited to 40 participants
Instructors: Trent McDonald (McDonald Data Sciences), Jason Carlisle (WGFD), Embere Hall (WGFD)
Description: Estimating population abundance is a fundamental task in wildlife biology. Distance-sampling, implemented as line-transects or point-transects, is one of two primary abundance methods in wildlife science, the other being capture-recapture. Distance-sampling estimates abundance by correcting for detection that declines with increasing distance between observer and target. The workshop will familiarize participants with methods for distance-sampling analysis using Program R, and equip participants with the ability to identify and implement appropriate methods for a given study design. Participants will gain hands-on exposure to conventional distance-sampling models using the R package Rdistance. The workshop will conclude with time reserved for participants to analyze real-world data (either their own or instructor-provided), with help from the instructors or fellow students. The workshop is designed for managers, researchers, and students with a basic understanding of statistics and working familiarity with Program R. Someone who knows how to subset a data.frame, fit and work with lm and/or glm model objects in Program R should have the necessary skills. We invite those unfamiliar with R to enroll in this workshop, and then to utilize free, online tutorials to become familiar with R ahead of time. Participants should bring a laptop.
THIS IS A FULL-DAY WORKSHOP AND CAN, THEREFORE, NOT BE COMBINED WITH ANY OTHER WORKSHOPS
To checkout, after adding all items to your cart, click the shopping cart icon in the upper right corner of your screen/ the web page header.