What are the best ways to create data visualizations for biodiversity assessments?

1 Choose the right type of visualization

The first step to create a data visualization for a biodiversity assessment is to choose the type of visualization that best suits your purpose and audience. There are many types of data visualizations, such as maps, charts, graphs, tables, diagrams, or infographics. Each type has its advantages and disadvantages, depending on the type and amount of data you have, the level of detail you want to show, and the message you want to convey. For example, maps are great for showing spatial patterns and distributions of biodiversity, while charts and graphs are good for showing trends and comparisons of biodiversity indicators. You should also consider the format and medium of your visualization, such as whether it will be printed, displayed online, or presented in a slide show.

2 Use appropriate data sources and indicators

The next step to create a data visualization for a biodiversity assessment is to use appropriate data sources and indicators that reflect the scope and objectives of your assessment. Data sources can include primary data collected by you or your team, or secondary data obtained from reliable and credible sources, such as government agencies, research institutions, or NGOs. Data indicators are the specific measures or variables that you use to quantify and compare biodiversity aspects, such as species richness, abundance, diversity, or threats. You should select data sources and indicators that are relevant, accurate, consistent, and comprehensive for your assessment. You should also acknowledge and address any data limitations or uncertainties in your visualization.

3 Apply a consistent and clear style

The third step to create a data visualization for a biodiversity assessment is to apply a consistent and clear style that enhances the readability and attractiveness of your visualization. Style refers to the visual elements that you use to present your data, such as colors, shapes, fonts, labels, legends, scales, or icons. You should use a style that matches the tone and theme of your assessment, as well as the preferences and expectations of your audience. You should also use a style that is consistent across your visualizations, to avoid confusion and distraction. Moreover, you should use a style that is clear and simple, to avoid clutter and noise that can obscure or distort your data.