Next we are going to rename our dataset to simply follow along with previous code Muleys$YearBurst <- as.factor(muleys$YearBurst) Muleys$YearBurst <- c(paste(muleys$id,muleys$Year,sep="_")) Muleys$YearBurst " 00:30:00" & muleys$NewDate Now open the script "NSDscript.R" and run code directly from the script Set working directory to the extracted folder in R under File - Change dir.įirst we need to load the packages needed for the exercise.Exercise 3.6 - Download and extract zip folder into your preferred location.Those interested in this section should read the 2 papers cited for more details and specifics of the methods. (2011) is a helpful to interpret the output of this code that identifies the pattern of NSD over time that is determined by which of the 5 movement behaviors the animal follows. (2012) to enable determination of migratory, mixed migratory, disperser, home range, or nomadic movement behavior. ![]() In the code for this section, we have updated the code to include the 5 movement equations along with R code provided in Papworth et al. Movements were then categorized into one of 5 categories based on the top model that describes movement for each individual. (2011) determined a novel method to ideintfy movement patters using NSD which is the straight line distance between an animals' srating location and subsequent locations. Net squared displacement (NSD) looks at the movement vectors of animals to determine their use of the landscape (Bunnefeld et al.
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