Plant data visualisation using network graphs.

ABSTRACT:

Background

The amount of plant data such as taxonomical classification, morphological characteristics, ecological attributes and geological distribution in textual and image forms has increased rapidly due to emerging research and technologies. Therefore, it is crucial for experts as well as the public to discern meaningful relationships from this vast amount of data using appropriate methods. The data are often presented in lengthy texts and tables, which make gaining new insights difficult. The study proposes a visual-based representation to display data to users in a meaningful way. This method emphasises the relationships between different data sets.

Method

This study involves four main steps which translate text-based results from Extensible Markup Language (XML) serial

SUBMITTER: Mohamad-Matrol AA 

PROVIDER: S-EPMC6120445 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature