HexResponder leverages the combined insights from global learning to the areas where you hold your activities, enhancing robustness of interpretations and predictions.
We have integrated machine learning procedures in the import functionality which allow very detailed information to be maintained and retrieved.
Our frontend is a data-viewer rather than a map viewer. When the data cells are arranged on a map surface, they might appear somewhat similar to traditional maps, but each hexagon on the map surface is a result of pre-processing procedures and its value is a result of numerous underlaying data.
A curated platform focusing on accessible and actionable data, analysis and so much more.
A helpful tool you can rely on at all stages of the exploration process. It serves as a guide and gives you the necessary information, as you navigate and explore.
With real-time dynamic interpretations of global data, you’ll be able to make informed decisions and better predictions.
A pleasant and enjoyable experience awaits you in a customised and intuitive friendly environment. Making it a breeze to view and explore desired destinations.
HexResponder leverages the combined insights from global learning to the areas where you hold your activities, enhancing robustness of interpretations and predictions.
The benefit of a knowledge platform is the simultaneous handling of a multidimensional and multiscale information space. Once the data are organised according to the platform protocol, they will be available for various broadly applicable models.
These models, as they develop, might be of crucial importance for very different purposes such as science, the mining industry and farming, as well as banks, insurance companies, policy makers and NGOs.
The outcome of predictive ML- or AI models depends very much on the volume of input data. Building global models requires relevant data to describe local and regional variations.
Likewise data for learning, testing and validating purposes has to be voluminous and rich.
The requirement to data volume for these types of models is often underestimated when only local or regional data is applied.
However, a new data structure will in most cases be required to accommodate very detailed local data in the same database as regional or even global data.
The idea of a Discrete Global Grid System (DGGS) to hold large volume of different data in the same hierarchic reference system was developed more the 25 years ago, but price of needed hardware has until now limited the use of DGGS's for data management.
Progress made in browser applications and platform technology as well as decreasing hardware costs have now made DGGS an increasingly attractive solution for organising big data.
We have integrated machine learning procedures in the import functionality which allow very detailed information to be maintained and retrieved.
Our frontend is a data-viewer rather than a map viewer. When the data cells are arranged on a map surface, they might appear somewhat similar to traditional maps, but each hexagon on the map surface is a result of pre-processing procedures and its value is a result of numerous underlaying data.
Scandinavian Highlands
HexResponder helps organisations turn complex spatial information into clear insights that teams can use to make smarter decisions and work better together.
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