Resources for building Geospatial Analysis skills for Ocean Sciences
Our take
The story of /u/21surfers resonates deeply within the World Data Ocean community. Their journey – a marine biology graduate navigating a challenging job market, pivoting to GIS and policy, and now poised to return to their oceanic passion – highlights a common thread: the evolving skillset required for impactful ocean science. The geospatial expertise they’ve cultivated, leveraging tools like Esri, Python, and R, represents a powerful convergence of disciplines. It’s a realization driven home by the increasing complexity of ocean data and the need for sophisticated analytical approaches. Consider, for instance, the ongoing debate regarding orca species versus ecotypes [Questions about the debate around orca species vs ecotypes: How certain are we that the various ecotypes of orcas don’t interbreed? Should that even matter? Are the behavioral differences between ecotypes relevant to them possibly being distinct species?], which underscores the importance of nuanced, spatially-aware analysis to understand population structure and behavior. Their experience also mirrors a broader trend; many with foundational ocean science degrees are finding that augmenting them with data science and geospatial skills dramatically expands their career opportunities.
The “golden handcuffs” situation they describe, while fortunate, also exemplifies a crucial point: the potential disconnect between academic passion and immediate career realities. The ability to secure a stable, well-compensated position, even if it deviates from one’s initial trajectory, can provide a unique opportunity to acquire valuable, transferable skills. This is particularly relevant given the growing need for interdisciplinary expertise in ocean conservation and management. The environmental scientist's experience with policy and technical writing further strengthens their profile, showcasing the ability to translate complex scientific findings into actionable insights. Their current focus on building ocean-specific analysis methods using established geospatial tools demonstrates an intelligent and strategic approach to bridging that gap. We’ve also seen similar questions arising in the community regarding species identification [Can you please help me identify this animal? Costa Rica, Pacific coast], showcasing the diverse applications for geospatial skills in marine environments.
The broader significance of this narrative lies in its illustration of the evolving landscape of ocean science careers. Traditional roles focused solely on fieldwork or laboratory research are increasingly complemented by positions requiring strong data analysis and modeling capabilities. The rise of integrated data ecosystems—where disparate datasets from satellite imagery, acoustic monitoring, and oceanographic sensors are combined—demands professionals capable of extracting meaningful insights. This requires not only technical proficiency in tools like GIS and Python but also a deep understanding of statistical methods, data visualization, and the nuances of oceanographic processes. The ability to integrate climate indicators and perform longitudinal analyses, as the /u/21surfers mentioned, is becoming increasingly vital for understanding and predicting the impacts of climate change on marine ecosystems.
Looking forward, the question becomes: how can we better support individuals like /u/21surfers in navigating this transition? Encouraging early exposure to geospatial technologies within marine biology curricula, fostering mentorship programs connecting experienced data scientists with aspiring oceanographers, and promoting the development of open-source tools and datasets are all critical steps. Furthermore, the creation of accessible, peer-reviewed resources demonstrating the application of geospatial techniques to real-world ocean challenges will be invaluable. As climate change continues to reshape our oceans, the demand for skilled professionals capable of harnessing the power of data will only intensify, and the ability to combine a passion for the ocean with robust analytical capabilities will be a powerful asset in driving impactful change.
Hi, I am an Environmental Scientist for a larger engineering and design company in Colorado. I primarily work in GIS data analysis, cartography, and database management (Esri) with a focus in policy for the natural and cultural resources of Colorado.
My undergraduate degree is in marine biology with a focus in fisheries sustainability from a school in South Carolina. When I graduated, like many others (esp in 2020) I was unable to find a job due to lack of experience and a highly competitive job market. I pivoted, broadened my horizons, and got a Masters degree in Environmental Biology from a school in colorado, where I’m still located.
I love GIS, organizing messy datasets and improving geospatial workflows. I love the ocean. Everything about it. My current employer pays me well (higher than most env scientists in the industry, both a blessing and a curse) and I’ve been able to learn countless desirable skill sets like python, R, FME, policy, and technical writing.
As I mentioned above, my current employer is both a blessing and a curse. The work is fast-paced and at times stressful, but they pay me well, offer mostly good benefits, a stellar ESOP and a reasonable work-life balance… it’s a job that you stay at your whole career if possible. A real golden handcuffs situation as i accidentally stumbled upon this line of work. I had always pictured myself going back to ocean studies at some point… and now here i am 5 years after my masters still stuck at 9,000 feet of elevation. I miss the ocean.
I have one year left before I am fully vested, meaning i can leave with the money I’ve accumulated. A goal I’m really hoping to hit and is getting closer along the horizon.
While I wait to be vested, I want to start building some ocean specific analysis methods, hopefully with tech that I already use. I’d love to stay in the geospatial modelling discipline, but am open to really anything. Just trying to get some ideas where i might fit in within the industry :) TIA
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