Mapping the 2018 East Africa floods from space with smapr

September 25, 2018

By: Max Joseph

Hundreds of thousands of people in east Africa have been displaced and hundreds have died as a result of torrential rains which ended a drought but saturated soils and engorged rivers, resulting in extreme flooding in 2018. This post will explore these events using the R package smapr, which provides access to global satellite-derived soil moisture data collected by the NASA Soil Moisture Active-Passive (SMAP) mission and abstracts away some of the complexity associated with finding, acquiring, and working with the HDF5 files that contain the observations (shout out to Laura DeCicco and Marco Sciaini for reviewing smapr, and Noam Ross for editing in the rOpenSci onboarding process).

Nomisr - Access 'Nomis' UK Labour Market Data

May 8, 2018

By: Evan Odell

I’m excited to announce a new package for accessing official statistics from the UK. nomisr is the R client for the Nomis database. Nomis is run by Durham University on behalf of the UK’s Office for National Statistics (ONS), and contains over a thousand datasets, primarily on the UK labour market, census data, benefit spending and general economic activity. Registration is optional, although registration and the use of an API key allows for larger queries without the risk of being timed out or rate limited by the API.

Data from Public Bicycle Hire Systems

October 17, 2017

By: Mark Padgham

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

August 24, 2017

By: Kyle Bocinsky

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.

Random GeoJSON and WKT with randgeo

April 20, 2017

By: Scott Chamberlain  |  Noam Ross

randgeo generates random points and shapes in GeoJSON and WKT formats for use in examples, teaching, or statistical applications. Points and shapes are generated in the long/lat coordinate system and with appropriate spherical geometry; random points are distributed evenly across the globe, and random shapes are sized according to a maximum great-circle distance from the center of the shape. randgeo was adapted from https://github.com/tmcw/geojson-random to have a pure R implementation without any dependencies as well as appropriate geometry.

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