Pyxis has developed world-class skills and tools for searching out geospatial data from around the internet and for rapid integration, analysis and visualization of that information utilizing a hexagonal Discrete Global Grid System (DGGS).
The Pyxis team is currently a recognized leader in DGGS implementation and has completed significant development and validation of the software platform. The foundation permits integration of ALL types of geospatial data and enables statistically valid analytics on a global scale, regardless of location (better than map projection based systems).
With the Digital Earth Insight app and the foundation IP, users are provided with the analytical power and longer-term feature growth potential of ESRI at the price point of simpler proven web-mapping app competitors such as Carto and Mapbox.
Pyxis is leading the effort on making DGGS Standard a reality.
To Learn more please visit DGGS OGC SWG Website
The Government of Canada has set the ambitious goal of the Federal Geospatial Platform to meet the needs of decision-makers. The challenge is not unique to Canada. Many have articulated the need to overcome the integration challenge and build a participatory distributed user-centric medium that "plugs into" existing data infrastructures for easy discovery, access, visualization, and analysis.
Pyxis believes that DGGS is the solution for this problem and successfully demonstrated how it can be integrated into Government of Canada. The company just completed a multi year demonstration BCIP funded project for Environment Canada and Natural Resources Canada.
The USGS and Natural Resources Canada, in support of the 8 nation ArcticSDP, identified a need to support a follow on Arctic Spatial Data Pilot by doing research on the current status of the Spatial Data Infrastructures for the Arctic and developed two scenarios that investigate the effects of melting sea ice and thawing permafrost. The scenarios focused on data handling via WCS, the implementation of the PYXIS Studio client application to use ArcticSDI data, analysis of the current Earth Observation profile data served through OPeNDAP, and handling of netCDF data. PYXIS successfully was used to show time series ice location and receding permafrost due to climate change.
The US National Aeronautics and Space Administration (NASA) identified initial interoperability requirements in the context of coverage data access and enhanced visualization of earth observation data. The goal of OGC Testbed 12 was to enhance the currently available WCS Earth Observation profile to reflect new requirements coming from both the data provider and consumer communities. These involve new indexing mechanisms, support for data encodings such as HDF, NetCDF, and DAP, and coverage processing mechanisms.
During the testbed, PYXIS Studio was used to exercise services and components to test and demonstrate WCS interoperability and demonstrated new implementations for large scale analytics that allowed a scientific user to discover, retrieve, process, and visualize EO 2d, 3d, and 4D data in an optimal way.
PYXIS also tested new NetCDF encoding acquired through OPeNDAP and showed how a time series of effluence from a industrial fire could be mashed up with population data indicate the potential number of people in contact with the potential harmful gas as it dispersed over California.