NO2_2019

This dataset contains smoothed NO2 data from March to September 2019

datasets

Implements event extraction and early classification of events in data streams in R.
It has the functionality to generate 2-dimensional data streams with events belonging to
2 classes. These events can be extracted and features computed. The event features extracted
from incomplete-events can be classified using a partial-observations-classifier
(Kandanaarachchi et al. 2018) <doi:10.1371/journal.pone.0236331>.

Sevvandi Kandanaarachchi

eventstream

Streaming Events and their Early Classification

NO2_2019 function

An array of 4 x 179 x 360 dimensions.<dl class="dl-horizontal">
 <dt>Dimension 1</dt><dd>Each <code>NO2_2019[t, , ]</code> contains NO2 data for a given month with <code>t=1</code> corresponding to March and <code>t=7</code> corresponding to September</dd>
 <dt>Dimensions 2,3</dt><dd>Each <code>NO2_2019[ ,x, y]</code> contains NO2 concentration for a given position in the world map.</dd></dl>

NO2_2019: A dataset containing NO2 data for 2019

Description

Usage

Arguments

Format