Understanding deforestation requires more than just analyzing individual causes—it demands a holistic view of how different factors interact.
In 2018, I collaborated as a Visual Designer on a project for Heritage Colombia and the National University of Colombia, where I refined and helped structure systemic models of deforestation drivers based on research findings. My role focused on enhancing their clarity and impact, making complex environmental data more accessible. System mapping and data visualization transform intricate research into clear, actionable insights, ensuring that critical findings don’t get lost in complexity.
Complex Models That Needed Simplification
The original diagrams presented an overwhelming amount of technical information, feedback loops, and interrelated variables. While rich in data, these models were difficult to interpret, limiting their effectiveness for decision-makers, conservationists, and local stakeholders.
To bridge the gap between research and understanding, I focused on:
The Process: Turning Complexity into Clarity
Simplifying Without Losing Meaning
The goal was not just to make the diagrams “look better” but to ensure that the relationships between variables were easier to interpret while preserving the depth of the original research.
Creating a Visual Language
I developed a consistent set of icons, colors, and structures that unified the presentation of information, making it easier to scan and understand.
Optimizing for Different Audiences
The visuals were refined for use in presentations, reports, and animated sequences, making them more accessible to scientists, policymakers, and the general public.
Empowering Conservation Through Visual Clarity
