A programmatic interface to openfisheries.org
This package allows to download weather data from MeteoGalicia.com (10-minutes, daily, monthly) from all stations, automatically.
The package hosts a list of functions to download, manipulate, construct and aggregate agricultural statistics provided by the FAOSTAT database of the Food and Agricultural Organization of the United Nations.
okmesonet retrieves and summarizes Oklahoma (USA) Mesonet climatological data provided by the Oklahoma Climatological Survey. Measurements are recorded every five minutes at approximately 120 stations throughout Oklahoma and are available in near real-time.
A programmatic interface to fishbase.org.
This package provides infrastructure to access OpenStreetMap data from different sources, to work with the data in common R manner, and to convert data into available infrastructure provided by existing R packages (e.g., into sp and igraph0 objects).
The GhcnDaily package provides the core functions required to download and format the GHCN Daily Data (TMax and Tmin) into Monthly datasets. It is currently restricted to operating with temperature data from the daily files.
Fetches data from DataMarket.com, either as timeseries in zoo form (dmseries) or as long-form data frames (dmlist). Metadata including dimension structure is fetched with dminfo, or just the dimensions with dmdims.
The Trades and Quotes data of the New York Stock Exchange is a popular input for the implementation of intraday trading strategies, the measurement of liquidity and volatility and investigation of the market microstructure, among others. This package contains a collection of R functions to carefully clean and match the trades and quotes data, calculate ex post liquidity and volatility measures and detect price jumps in the data.
Per the Factual.com website, "Factual is a platform where anyone can share and mash open, living data on any subject." The data is in the form of tables and is accessible via REST API. The factualR package is a thin wrapper around the Factual.com API, to make it even easier for people working with R to explore Factual.com data sets.
