# Get the most from your spatial data
Using spatial data is hard. Even with expertise in spatial data analysis and machine learning, valuable time is often spent gathering data, writing code and running analyses manually. These blockers lead to missed opportunities to use your own, or publically accessible, spatial data to improve the impact of your operations. Through a combination of custom analyses and web tool development, through to use of our existing algorithms and interfaces, Locational is focused on simplifying access to spatial analyses.
Read about our recent COVID-19 work
See some brief info about our other algorithms and tools
Find out who we are and where we started
Get in touch - we're happy to answer any questions about what we do, how things work, how you can get started, etc.
# Where did this start?
We've been developing and improving these approaches over the past 6 years. This started with work on the DiSARM project (opens new window), where we developed automated approaches to identify high risk areas for malaria.
# Who are we?
- Hugh Sturrock spatial epidemiology and modeling
- Jonathan Smith software development and infrastructure
Drop us a line about anything - email@example.com