sp_extract_pt: Extract environmental data - pt based

In ropenscilabs/spenv: Add Environmental Data to Spatial Data

Description

Extract environmental data - pt based

Usage

sp_extract_pt(x, from = "noaa_isd", radius = 50, select = "first", date = NULL)

Arguments

x	input data.frame
from	which data source, only 'noaa_isd' for now OR an object with data in it, including data.frame or SpatialPointsDataFrame
radius	radius, in km, for which to search for stations/point locations from each input point in x
select	Ignored right now
date	Date to search for data for. Ignored if you supply your own env data in from

Details

Works for the use case of finding locations for point based stations, e.g., floats/buoys type data

Examples

## Not run: 
file <- system.file("examples", "obis_mola_mola.csv", package = "spenv")
dat <- read.csv(file, stringsAsFactors = FALSE)
head(dat)

# data.frame input
res <- sp_extract_pt(x = dat[1:10,], radius = 10)
dplyr::bind_rows(res)

# spatial objects
## SpatialPointsDataFrame - w/ NOAA remote data
library("sp")
coordinates(dat) <- ~longitude + latitude
sp_extract_pt(dat, radius = 10)

## SpatialPointsDataFrame - w/ data.frame
file <- system.file("examples", "noaa_data.csv", package = "spenv")
ref <- read.csv(file, stringsAsFactors = FALSE)
sp_extract_pt(x = dat, from = ref, radius = 10)

## End(Not run)

ropenscilabs/spenv documentation built on Sept. 22, 2020, 4:46 p.m.