Spatial Modeling

Spatial analysis is one of the most interesting aspects of GIS, more specifically of geoprocessing. The process allows the experts to combine information from many independent sources and derive a new set of information (results)-by applying a large, rich, and sophisticated set of spatial operators. In turn, these results are applied to a wide variety of problems.

Spatial modeling uses spatial data and makes use of combined functional capabilities such as analytical tools for spatial and non-spatial computation, GIS and programming languages. The focus is on the meaning of the model i.e. it is more than just applying analytical tools. Instead, it is all about representing meaningful features, events and processes in geographical space.

Our experience includes:

  • Generating soil and liquefaction maps from Digital Geological Maps

  • Landslide susceptibility mapping using raster modeling

  • Hydrological analysis involving analyzing historical data

  • Flood depths and flood extent maps for different scenarios that comprise modules such as, rainfall, runoff, and flood depth.

  • Identifying zones that have a potential risk from hurricanes

  • Digital terrain modeling (DTM)

  • Environmental impact assessment to identify the potential impact of storage facilities for hazardous materials in populated areas