R package containing utility functions and datasets for Rare Science & Tech data analysis workflows
You can install from GitHub with:
# install.packages("devtools")
devtools::install_github("Rare-Technology/raretech")
Rather than keeping track of url's to import Fish Forever data, use getData
to download whatever you need:
> library(raretech)
> fish <- getData("fish")
Rows: 196925 Columns: 22
── Column specification ───────────────────────────────────────────
Delimiter: ","
chr (12): country, ma_name, location_name, location_status, tr...
dbl (9): year, lat, lon, count, density_ind_ha, biomass_kg_ha...
date (1): survey_date
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Rows: 22 Columns: 2
── Column specification ───────────────────────────────────────────
Delimiter: ","
chr (2): columnname, description
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
As you can see, there were two tables loaded. One is the actual fish survey data, fish$data
, and the other is column metadata:
> head(fish$metadata)
# A tibble: 6 x 2
columnname description
<chr> <chr>
1 country Full country name. A country contains SNU's.
2 year survey year. Does not necessarily correspond to th…
3 lat Latitude of survey site
4 lon Longitude of survey site
5 ma_name Managed access area. A managed access area contain…
6 location_name Survey site. A survey site contains transects.
Additionally, you can see the data.world source url for the data:
> fish$source
[1] "https://data.world/rare/fish-surveys"
Use ?getData
for a list of valid inputs and more info.