Script, data, and models to run analyses for Knight, E.C., A.C. Smith, R.M. Brigham, and E.M. Bayne. 2021. Combination of targeted monitoring and Breeding Bird Survey data improves population trend estimation and species distribution modeling for the Common Nighthawk For trend estimation: the analyses compare trends estimated from simulated data for the Canadian Nightjar Survey (CNS) and the North American Breeding Bird Survey (BBS). The main script file "TrendSimulation.R" inputs the four data files, defines and runs the hierarchical model used to parameterize the simulations, generates the simulated data, simulates the trend estimates, and plots the results. Files for trend estimation are prepended with "Trend_", which will need to be removed prior to running scripts. For species distribution modelling: the analyses split data, build SDMs, predict on withheld data, and evaluate model performance for the CNS and BBS. The main script file "HabitatModel.R" runs through three analyses for each of three bird conservation regions (BCRs). The three analyses are similar, with differences in habitat covariates for each BCR. Each analysis requires 3 data files and 3 large raster stacks (for prediction).