Data and code for "Combining disparate camera-trap surveys: impacts of spatial bias and design variation on large-scale ecological inference."
收藏资源简介:
## Data and code for "Combining disparate camera-trap surveys: impacts of spatial bias and design variation on large-scale ecological inference." All data and code necessary to repeat all analyses in the above mentioned publication, starting with selected and fully prepared data. ## Description of the data and file structure This repository contains the following data files: *UniqueArraysEU.rds, UniqueArraysUSA.rds*: information on selected subprojects from Snapshot EU and Snapshot USA about survey design, environmental variables and whether a subproject falls within a species' range *Independent_recordsEU.rds, Independent_recordsUSA.rds*: photographic data from selected subprojects from Snapshot EU and Snapshot USA *BG_EU.rds, BG_EU.rds*: Systematic background locations with associated spatial data for Europe and the continental USA All files contain data from several published sources; the original sources should be cited, should this dataset be used. For original sources, see manuscript. In addition, the following R scripts are available: *1 - Use availability.R*: R code to run logistic regression of sampled (within Snapshot initiative) vs available locations to determine spatial sampling bias *1b - Use Availability results plot.R*: R code to make figures and tables with results from logistic regression of sampled vs available locations *2 - Array design features.R*: R code to run GLMs on subproject design variables as functions of environmental variables *2b - Array design figure.R*: R code to make figures and tables with results from design GLMs *3 - Species base models.R*: R code to run negative binomial GLMs on species photographic rates as functions of environmental variables *4 - Impact of design.R*: R code to add design variables to species photographic rate models and check for additive effects, omitted variable bias and interactive effects *4b - Impact of design plots.R*: R code make figures and tables with results from species photographic rate models ## Code/Software Data can be loaded into R and analyzed. Please see publication for version information and R scripts for additional packages used in processing data.



