# FILE NAMES ------------------------------------------------------------------- # # Path and file name of your standardized VMS data file.name <- "data-tidy/VMS_standardized.csv" # # Path and file name of rasterized data to be exported (can then be imported # into QGIS) raster.name <- "data-products/Effort_raster.asc" # FILTER VALUES ---------------------------------------------------------------- # The standardized VMS file will be filtered according to these specifications # # Range of dates to analyze (have to be of the format YYYY-MM-DD HH:MM:SS) date.lim = c("1901-01-01 00:00:00", "2100-12-31 23:59:59") # CATEGORIZATION --------------------------------------------------------------- # Range of speeds considered as fishing fishing.lim <- c(2, 4.5) # GRAPH RESOLUTIONS ------------------------------------------------------------ # Resolution for the effort raster grid.lim <- c(0.05, 0.05)
knitr::opts_chunk$set(echo = FALSE, message = FALSE, warning = FALSE)
# Needed libaries library(mapdata) library(tidyverse) library(ghsllr)
vms <- readr::read_csv(file.name) eff <- vms %>% vms_filter_data(speed.lim = fishing.lim, date.lim = date.lim) %>% vms_rasterize(grid.lim) vms_plot_raster(eff)
eff %>% vms_export_raster(raster.name)
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