The surfcast package and app make it easy to find the best place to surf during a given season or month. The data comes from https://www.surf-forecast.com/.
You can install the development version of surfcast with:
# install.packages("devtools")
devtools::install_github("maurolepore/surfcast")Use the database online. You may also access the data via a shiny app or directly in R.
library(surfcast)
library(dplyr, warn.conflicts = FALSE)run_app()best_conditions
#> # A tibble: 4,698 × 13
#> spot country best_month best_swell best_wind rating clean blown_out
#> <chr> <chr> <ord> <chr> <chr> <dbl> <int> <int>
#> 1 alfonsina argent… january east west NA 0 1
#> 2 biologia argent… january northeast west-nor… 3.9 12 28
#> 3 cabo-raso argent… january north-nor… south-so… NA 11 28
#> 4 la-perla-1-ma… argent… january east west 3.8 0 1
#> 5 la-virazon argent… january northwest south NA 0 1
#> 6 yacht argent… january northeast west-nor… 3.2 12 28
#> 7 horizonte argent… february south-sou… north-no… 4.1 27 33
#> 8 maquinita argent… february south-sou… north-no… 4 27 33
#> 9 monte-hermoso… argent… march south-sou… north 3.2 15 32
#> 10 quequen argent… april south north-no… NA 26 41
#> # … with 4,688 more rows, and 5 more variables: too_small <int>,
#> # reliability <ord>, type <chr>, region <chr>, continent <chr>best_conditions %>%
distinct(country) %>%
pull()
#> [1] "argentina" "australia" "brazil" "chile"
#> [5] "colombia" "costa rica" "ecuador" "el salvador"
#> [9] "fiji" "france" "french polynesia" "indonesia"
#> [13] "maldives" "mexico" "micronesia" "new zealand"
#> [17] "nicaragua" "panama" "peru" "philippines"
#> [21] "portugal" "puerto rico" "thailand" "united states"
#> [25] "uruguay"- Today the swell is NE.
- Today the wind is NW.
ne <- "north|east"
nw <- "north|west"
# Not
sw <- "south|west"
se <- "south|east"
best_conditions %>%
filter(country == "argentina") %>%
filter(grepl(ne, tolower(best_swell))) %>%
filter(!grepl(sw, tolower(best_swell))) %>%
filter(grepl(nw, tolower(best_wind))) %>%
filter(!grepl(se, tolower(best_wind)))
#> # A tibble: 9 × 13
#> spot country best_month best_swell best_wind rating clean blown_out too_small
#> <chr> <chr> <ord> <chr> <chr> <dbl> <int> <int> <int>
#> 1 alfo… argent… january east west NA 0 1 99
#> 2 biol… argent… january northeast west-nor… 3.9 12 28 60
#> 3 la-p… argent… january east west 3.8 0 1 99
#> 4 yacht argent… january northeast west-nor… 3.2 12 28 60
#> 5 pina… argent… june east west-nor… 3.6 33 32 35
#> 6 cons… argent… july east west NA 4 6 90
#> 7 mar-… argent… july east west 3.1 12 28 60
#> 8 baja… argent… september east west-nor… NA 31 25 44
#> 9 rada… argent… september east west-nor… 3.4 31 25 44
#> # … with 4 more variables: reliability <ord>, type <chr>, region <chr>,
#> # continent <chr>