The UK National River Flow Archive (NRFA) stores several types of hydrological data and metadata: daily river flow and catchment rainfall time series, gauging station and catchment information. Data are served through the NRFA web services via experimental RESTful APIs. Obtaining NRFA data can be unwieldy due to complexities in handling HTTP GET requests and parsing responses in JSON and XML formats. The rnrfa package provides a set of functions to programmatically access, filter, and visualize NRFA data using simple R syntax. This paper describes the structure of the rnrfa package, including examples using the main functions gdf() and cmr() for flow and rainfall data, respectively. Visualization examples are also provided with a shi...
Globally, access to hydrometric data of adequate quality, consistency and coverage to answer pressin...
This data set contains example data for demonstrating the functionality of the R package riversCentr...
Following the rise of R as a scientific programming language, the increasing requirement for more tr...
The UK National River Flow Archive (NRFA) stores several types of hydrological data and metadata: da...
rnrfa: An R package to Retrieve, Filter and Visualize Data from the UK National River Flow Archivern...
The UK National River Flow Archive (NRFA) is the UK’s focal point for hydrometric data. It provides ...
The peak flow dataset initiated by the Flood Studies Report (FSR) has seen significant developments ...
The open-source programming language R has gained a central place in the hydrological sciences over ...
Following the rise of R as a scientific programming language, the increasing requirement for more tr...
This dataset is model output from the GR4J lumped catchment hydrology model. It provides 500 model r...
Records of peak river flow are vital for developing our understanding of the flood events and improv...
R is a free software programming language and environment for statistical computing and graphics. Po...
Following the rise of R as a scientific programming language, the increasing requirement for more tr...
This review paper will deal with the possibilities of applying the R programming language in water r...
There is a growing need to better understand and communicate multi-dimensional river ecosystem proce...
Globally, access to hydrometric data of adequate quality, consistency and coverage to answer pressin...
This data set contains example data for demonstrating the functionality of the R package riversCentr...
Following the rise of R as a scientific programming language, the increasing requirement for more tr...
The UK National River Flow Archive (NRFA) stores several types of hydrological data and metadata: da...
rnrfa: An R package to Retrieve, Filter and Visualize Data from the UK National River Flow Archivern...
The UK National River Flow Archive (NRFA) is the UK’s focal point for hydrometric data. It provides ...
The peak flow dataset initiated by the Flood Studies Report (FSR) has seen significant developments ...
The open-source programming language R has gained a central place in the hydrological sciences over ...
Following the rise of R as a scientific programming language, the increasing requirement for more tr...
This dataset is model output from the GR4J lumped catchment hydrology model. It provides 500 model r...
Records of peak river flow are vital for developing our understanding of the flood events and improv...
R is a free software programming language and environment for statistical computing and graphics. Po...
Following the rise of R as a scientific programming language, the increasing requirement for more tr...
This review paper will deal with the possibilities of applying the R programming language in water r...
There is a growing need to better understand and communicate multi-dimensional river ecosystem proce...
Globally, access to hydrometric data of adequate quality, consistency and coverage to answer pressin...
This data set contains example data for demonstrating the functionality of the R package riversCentr...
Following the rise of R as a scientific programming language, the increasing requirement for more tr...