We lead the initiative in GIS enterprise system design, including capacity planning, configuration, and optimization.
Hazus is the largest consumer of ArcGIS products and utilizes in built ArcObjecs to the extremes. Any updates to ArcObjects in newer versions triggers a changes in Hazus. We are revamping Hazus framework to reduce the dependencies that arise due to depracation of ArcObjects in current versions of Hazus.
We implement real-time situational awareness planning and decision support using advanced Geocoding/Geolocation and remote sensing data.
Data Life Cycle
Hands-on Geospatial data life cycle management, including collection, verification & validation, de-duplication, analytics, storage, processing, usage, archiving, and destruction
By implementing Spatial Analytics we can predict risk areas for emergency management in support of FEMA
When it comes to data processing, we are always compliant with Federal Geographic Data Committee (FGDC) standards.
NiyamIT modernizes and maintains Hazus for FEMA as part of Risk MAP Program. FEMA’s Hazus Program provides a nationally standardized methodology for the estimation of structural damage and economic loss caused by earthquakes, hurricanes, floods, and tsunamis.
Easy interpretation of results from data analysis is as important as the analysis itself. Millions of rows of data are a challenge to the common visualization formats, i.e. dashboards, reports, graphs and charts.
Comprehensive Data Management System will streamline and automate processing of raw data. Updated datasets can be shared between user communities for common use, instead of each user community having to make its own updates.
More Precise Curve
Backed by powerful Spatial data types in SQL Server 2014, Hazus will provide greater modeling precision. The geography data types for round-earth coordinate system is well suited for Hazus geospatial calculations.
The methodology is captured in a series of GIS-based spatial and analytic tools. Hazus uses a spatial interface to overlay a hazard with a geographic area, including the area’s building inventory and demographic data.
FEMA, state and local government, academia, private sector, partner federal agencies, and international research groups use Hazus to predict damage and economic loss due to a specific disaster.
We are changing the database engine to take advantage of the 64 bit architecture. To maintain tight security and protection of the systems registry, Hazus will now utilize its own configuration file and leave the systems registry untouched.