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GIS Mapping

Cloud Computing UAE, India
A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present all types of geographical data.In other words, data that is in some way referenced to locations on the earth.GIS is more than just software. People and methods are combined with geospatial software and tools, to enable spatial analysis, manage large datasets, and display information in a map/graphical form.

Vunathi provides numerous GIS services to its clients. The GIS services rendered by Vunathi allow for the visualization of geographic data, analysis of spatial relationships, and efficient data management. The GIS data conversions allow data from different sources to be merged in one common format, which allows for easy access, analysis and utilization.The vast expertise and experience allows Vunathi to integrate GIS, CAD and Global Positioning Systems (GPS) services, by using high-end GIS Mapping and GIS data conversions software. These services assist the customers to produce contour maps, spatial maps, atlas maps, cadastral maps, thematic and zonal maps, landscape maps, and environmental maps for host industries such as mining and geology, utility, agriculture, petroleum pipelines, land information management, and other GIS Mapping companies and Remote Sensing companies.

Geospatial data is created, shared, and stored in many different formats. The two primary data types are raster and vector. Vector data is represented as either points, lines, or polygons. Discrete (or thematic) data is best represented as vector. Data that has an exact location, or hard boundaries are typically shown as vector data. Examples are county boundaries, the location of roads and railroads using lines, or point data indicating the location of fire hydrants. By contrast, raster data is best suited for continuous data, or information that does not have hard boundaries or locations. As rasters, the data are viewed as a series of grid cells where each cell has a value representing the feature being observed. Think of raster data as appropriate for modeling surfaces like elevation, temperature, precipitation, or soil Ph. These phenomena are measured at intervals (think weather stations), and values in between are interpolated to create a continuous surface. Raster data also includes remote sensing imagery, like aerial photography and satellite imagery.