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Interface to the 'USGS' 'BISON' API
Interface to the 'USGS' 'BISON' (< https://bison.usgs.gov/>) API, a 'database' for species occurrence data. Data comes from species in the United States from participating data providers. You can get data via 'taxonomic' and location based queries. A simple function is provided to help visualize data.
Connector to 'CouchDB'
Provides an interface to the 'NoSQL' database 'CouchDB' (< http://couchdb.apache.org>). Methods are provided for managing databases within 'CouchDB', including creating/deleting/updating/transferring, and managing documents within databases. One can connect with a local 'CouchDB' instance, or a remote 'CouchDB' databases such as 'Cloudant'. Documents can be inserted directly from vectors, lists, data.frames, and 'JSON'. Targeted at 'CouchDB' v2 or greater.
Dealing with Multiplatform Satellite Images
Downloading, customizing, and processing time series of satellite images for a region of interest. 'rsat' functions allow a unified access to multispectral images from Landsat, MODIS and Sentinel repositories. 'rsat' also offers capabilities for customizing satellite images, such as tile mosaicking, image cropping and new variables computation. Finally, 'rsat' covers the processing, including cloud masking, compositing and gap-filling/smoothing time series of images (Militino et al., 2018
Interface to the 'Orcid.org' API
Client for the 'Orcid.org' API (< https://orcid.org/>). Functions included for searching for people, searching by 'DOI', and searching by 'Orcid' 'ID'.
General Purpose R Interface to 'Solr'
Provides a set of functions for querying and parsing data from 'Solr' (< https://solr.apache.org/>) 'endpoints' (local and remote), including search, 'faceting', 'highlighting', 'stats', and 'more like this'. In addition, some functionality is included for creating, deleting, and updating documents in a 'Solr' 'database'.
Construct Reproducible Analytic Data Sets as R Packages
A framework to help construct R data packages in a reproducible manner. Potentially time consuming processing of raw data sets into analysis ready data sets is done in a reproducible manner and decoupled from the usual 'R CMD build' process so that data sets can be processed into R objects in the data package and the data package can then be shared, built, and installed by others without the need to repeat computationally costly data processing. The package maintains data provenance by turning the data processing scripts into package vignettes, as well as enforcing documentation and version checking of included data objects. Data packages can be version controlled on 'GitHub', and used to share data for manuscripts, collaboration and reproducible research.
Calculate Slopes of Roads, Rivers and Trajectories
Calculates the slope (longitudinal gradient or steepness)
of linear geographic features such as roads (for more details, see Ariza-López et al. (2019)
Evaluate Clinical Prediction Models by Net Monetary Benefit
Estimates when and where a model-guided treatment strategy may
outperform a treat-all or treat-none approach by Monte Carlo simulation and
evaluation of the Net Monetary Benefit. Details can be viewed in
Parsons et al. (2023)
Accesses Weather Data from the Iowa Environment Mesonet
Allows to get weather data from Automated Surface Observing System (ASOS) stations (airports) in the whole world thanks to the Iowa Environment Mesonet website.
Parse Messy Geographic Coordinates
Parse messy geographic coordinates from various character formats to decimal degree numeric values. Parse coordinates into their parts (degree, minutes, seconds); calculate hemisphere from coordinates; pull out individually degrees, minutes, or seconds; add and subtract degrees, minutes, and seconds. C++ code herein originally inspired from code written by Jeffrey D. Bogan, but then completely re-written.