Geospatial analytics gathers, interpolate and displays remote sensing (RS) and geographic information system (GIS) data and imagery including GPS, DGPS and satellite imageries.
Geospatial analytics uses data from all kinds of technology — GPS, DGPS, Total Station, Sonar, LiDAR, location sensors, mobile devices, satellite imagery, Drone — to build data visualizations for understanding phenomena and finding trends in complex relationships between objective/requirment and earth. This geo-referenced data can be applied to nearly any happening on earth. The visualizations can include maps, graphs, statistics and cartograms that show the results and this can make predictions easier and more accurate.
Geospatial analytics adds timing and location to traditional types of data and this additional context allows for a more complete picture of events. Insights that might have been lost in a massive spreadsheet are revealed in easy-to-recognize visual patterns and images.
We are able to instantly process huge amounts of geographic and geometric data. This gives users the ability to interact with billions of mapped points while looking at real-time geospatial visualizations. Users can explore data across time and space to instantly see how something has changed from days to years.
Our Commitment
To provide Quality Services to our clients that EXCEEDS their expectations.
To grow with & through people.