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Koeppen-Geiger Climatic Zones
Aids in identifying the Koeppen-Geiger (KG) climatic zone for
a given location. The Koeppen-Geiger climate zones were first published in 1884, as a system
to classify regions of the earth by their relative heat and humidity through the year, for
the benefit of human health, plant and agriculture and other human activity [1]. This climate
zone classification system, applicable to all of the earths surface, has continued to be
developed by scientists up to the present day. Recently one of use (FZ) has published updated,
higher accuracy KG climate zone definitions [2]. In this package we use these updated
high-resolution maps as the data source [3]. We provide functions that return the KG climate zone
for a given longitude and lattitude, or for a given United States zip code. In addition
the CZUncertainty() function will check climate zones nearby to check if the given location
is near a climate zone boundary. In addition an interactive shiny app is provided to define
the KG climate zone for a given longitude and lattitude, or United States zip code.
Digital data, as well as animated maps, showing the shift of the climate zones are provided
on the following website < http://koeppen-geiger.vu-wien.ac.at>.
This work was supported by the DOE-EERE SunShot award DE-EE-0007140.
[1] W. Koeppen, (2011)
Visualizing Hypothesis Tests in Multivariate Linear Models
Provides HE plot and other functions for visualizing hypothesis tests in multivariate linear models. HE plots represent sums-of-squares-and-products matrices for linear hypotheses and for error using ellipses (in two dimensions) and ellipsoids (in three dimensions). It also provides other tools for analysis and graphical display of the models such as robust methods and homogeneity of variance covariance matrices. The related 'candisc' package provides visualizations in a reduced-rank canonical discriminant space when there are more than a few response variables.
Climate and Ecological Niche Factor Analysis
Tools for climate- and ecological-niche factor analysis of spatial data, including methods for visualization of spatial variability of species sensitivity, exposure, and vulnerability to climate change. Processing of large files and parallel methods are supported. Climate-niche factor analysis is described in Rinnan and Lawler (2019)
Maximum Homogeneity Clustering for Univariate Data
Maximum homogeneity clustering algorithm for one-dimensional data
described in W. D. Fisher (1958)
Modelling and Validation of Non Homogeneous Poisson Processes
Tools for modelling, ML estimation, validation analysis and simulation of non homogeneous Poisson processes in time.
A Tidy Toolbox for Climate Extreme Indices
Calculate Expert Team on Climate Change Detection and Indices (ETCCDI) <-- (acronym) climate indices from daily or hourly temperature and precipitation data. Provides flexible data handling.
Easily Download and Visualise Climate Data from CliFlo
CliFlo is a web portal to the New Zealand National Climate Database and provides public access (via subscription) to around 6,500 various climate stations (see < https://cliflo.niwa.co.nz/> for more information). Collating and manipulating data from CliFlo (hence clifro) and importing into R for further analysis, exploration and visualisation is now straightforward and coherent. The user is required to have an internet connection, and a current CliFlo subscription (free) if data from stations, other than the public Reefton electronic weather station, is sought.
Homogeneity and Sparsity Detection Incorporating Prior Constraint Information
We explore sparsity and homogeneity of regression coefficients incorporating prior constraint information. A general pairwise fusion approach is proposed to deal with the sparsity and homogeneity detection when combining prior convex constraints. We develop an modified alternating direction method of multipliers algorithm (ADMM) to obtain the estimators.
General Purpose Client for 'ERDDAP™' Servers
General purpose R client for 'ERDDAP™' servers. Includes functions to search for 'datasets', get summary information on 'datasets', and fetch 'datasets', in either 'csv' or 'netCDF' format. 'ERDDAP™' information: < https://upwell.pfeg.noaa.gov/erddap/information.html>.
Software Citation Tools
A collection of functions to extract citation information from 'R' packages and to deal with files in 'citation file format' (< https://citation-file-format.github.io/>), extending the functionality already provided by the citation() function in the 'utils' package.