Data analytics, statistics, and more
For this post, we will evaluate rainfall in Australia using daily weather observations from multiple Australian weather stations. We will build several machine learning models using the tidymodels framework for use in predicting if there will be rain tomorrow.
Shaded relief of surface elevation illustrates the shape of the terrain in a realistic fashion by showing how the three-dimensional surface would be illuminated from a point light source. This post illustrates the use of geom_relief(), a new aesthetic mapping layer, or geom (geometric object), for creating a shaded relief basemap using ggplot2.
This post is intended to provide tools and insights to those individuals interested in analyzing the ecological and chemical status of various water bodies across England. Information and data about the river basin management water environment can be accessed from the Catchment Data Explorer. Classifications indicate where the quality of the environment is good, where it may need improvement, and what may need to be improved.
The U.S. Drought Monitor is updated each Thursday to show the location and intensity of drought across the country, which uses a five-category system, from Abnormally Dry (D0) conditions to Exceptional Drought (D4). Using these data and the R statistical programming language, we can visualize drought severity across the United States for various time periods as static maps or even as an animated map
In this post, we explore three dimensionality reduction techniques specifically used for data exploration and visualization: principal component analysis (PCA), t-distributed stochastic neighbor embedding (t-SNE), and uniform manifold approximation and projection (UMAP).