ws_data_avg_span_2_pgdb: ws_data_avg_span_2_pgdb() retrieves the subset of ws with...

In rabravo/ws2pgdb: Retrieves, manipulates, and stores data from NOAA, U.S.Census, and Epimodels.org. Uses location of weather stations (ws) to create a clustering of counties around the ws

Description

Same as ws_data_na_2_pgdb() , retrieves the weather data from the intersecting stations. It is known that NOAA enlist available data for certain years, months, or days; however, some of this information is missing. This function replaces the missing data with the average value of the dataset. The example shows the use of ws_metadata_span_2_pgdb(), but it can be very well be replaced by ws_metadata_2_pgdb().

Usage

ws_data_avg_span_2_pgdb(ghcnd, geoid, type, span, ws_metadata)

Arguments

ghcnd	String that refers to the Global Historical Climate Network (daily) dataset
geoid	FIPS number from census tables
type	Variable under investigation i.e. TMAX, TMIN, PRCP
span	Indicates look-back time to search for available ws stations and data
ws_metadata	The table name of the subset of weather stations with intersecting data

Value

Returns the name of the table that has been created. When fail, it returns 1.

Examples

ghcnd        <- 'GHCND'
geoid        <- '12087'
type         <- 'TMAX'
stations     <- as.data.frame( all_coor_ws( ghcnd, geoid, type) )
span         <- '2'
ws_metadata  <- ws_metadata_span_2_pgdb( geoid, type, stations, span ) 
ws_data_avg_span_2_pgdb( ghcnd, geoid, type, span, ws_metadata)

rabravo/ws2pgdb documentation built on May 26, 2019, 8:51 p.m.