Data from Public Bicycle Hire Systems

  Mark Padgham   | OCTOBER 17, 2017

A new rOpenSci package provides access to data to which users may already have directly contributed, and for which contribution is fun, keeps you fit, and helps make the world a better place. The data come from using public bicycle hire schemes, and the package is called bikedata. Public bicycle hire systems operate in many cities throughout the world, and most systems collect (generally anonymous) data, minimally consisting of the times and locations at which every single bicycle trip starts and ends.

FedData - Getting assorted geospatial data into R

  Kyle Bocinsky   | AUGUST 24, 2017

The package FedData has gone through software review and is now part of rOpenSci. FedData includes functions to automate downloading geospatial data available from several federated data sources (mainly sources maintained by the US Federal government). Currently, the package enables extraction from six datasets: The National Elevation Dataset (NED) digital elevation models (1 and 1⁄3 arc-second; USGS) The National Hydrography Dataset (NHD) (USGS) The Soil Survey Geographic (SSURGO) database from the National Cooperative Soil Survey (NCSS), which is led by the Natural Resources Conservation Service (NRCS) under the USDA, The Global Historical Climatology Network (GHCN), coordinated by National Climatic Data Center at NOAA, The Daymet gridded estimates of daily weather parameters for North America, version 3, available from the Oak Ridge National Laboratory’s Distributed Active Archive Center (DAAC), and The International Tree Ring Data Bank (ITRDB), coordinated by National Climatic Data Center at NOAA.

Everybody talks about the weather

  Adam Sparks   | APRIL 4, 2017

Everybody talks about the weather, but nobody does anything about it. - Charles Dudley Warner As a scientist who models plant diseases, I use a lot of weather data. Often this data is not available for areas of interest. Previously, I worked with the International Rice Research Institute (IRRI) and often the countries I was working with did not have weather data available or I was working on a large area covering several countries and needed a single source of data to work from.

camsRad, satellite-based time series of solar irradiation

  Lukas Lundström   | MARCH 21, 2017

camsRad is a lightweight R client for the CAMS Radiation Service, that provides satellite-based time series of solar irradiation for the actual weather conditions as well as for clear-sky conditions. Satellite-based solar irradiation data have been around roughly as long our modern era satellites. But the price tag has been very high, in the range of several thousand euros per site. This has damped research and development of downstream applications.

Discover hydrological data using the hddtools R package

  Claudia Vitolo   | MARCH 7, 2017

I’ve worked for over 12 years in hydrology and natural hazard modelling and one of the things that still fascinates me is the variety of factors that come into play in trying to predict phenomena such as river floods. From local observations of meteorological and hydrological variables and their spatio-temporal patterns to the type and condition of soils and vegetation/land use as well as the geometry and state of river channels and engineering structures affecting the flow.

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