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Major Studio One

Introduction

Collaboration with the Smithsonian Institution through OpenAccess API

Design Brief / Problem Statement

Introduce visualisations or graphics that achieve the following:

-Increase outreach to the general public

-Educational about Planet Earth's biodiversity

-Making technical data more accessible to non-professional readers

In this exercise, we dive into crafting a visualisation that uses depth as its main theme of illustrating the diversity of our oceans. By using the depth data gathered from each fish, we move beyond simple categorization and enhance the storytelling potential of the information. The aim is to provide readers with an intuitive glimpse into the ecosystems of the deep, where various species coexist and thrive within overlapping environmental niches. Through this approach, it deepens the audience’s understanding of how biodiversity unfolds across different oceanic depths. Full ReadMe Here Studio1  Quantitative NMNH due 24_10_Page_05

Building on the previous quantitative exercise, we aspire to continue with the data we have gathered about fishes beforehand and use it to introduce a visualisation that goes further than just simple categorising. With the same amount of data, we enlarge the information they can provide along with other minor enhancements. This time we are looking at introducing a graphic that can give readers an insight into fishes or marine creatures that live within similar depth ranges, sort of like finding our neighbours within a district. Full ReadMe Here MS1  Qualitative NMNH_Page_05

Moving forward to explore the translation of fish scientific names to their common names in our next visualisation, we bridge the gap between technical nomenclature and everyday terminology, this enhancement aims to make the information more accessible and relatable for a wider audience. It would allow readers not only to understand species distributions but also to associate these findings with familiar species they may already recognize, further enriching the context and usability of the visualization.

The word map is a dynamic visualization that classifies fish species by their native oceans and archetypes, such as predators, scavengers, or reef dwellers, while translating their scientific names into common names for accessibility. Organized into distinct regions, the map highlights the biodiversity of aquatic life in each ocean, from the Atlantic to the Pacific. It bridges scientific taxonomy and practical understanding, showcasing the relationships between species, their ecological roles, and geographic distribution. Full ReadMe Here

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