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Virtual Convolution Matrix using Geoprocessing Operations

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Hooshang Eivazy NCC
University of Science and Technology of Iran,
Iran
Email: [email protected]
 

Hooshang Eivazy
NCC
University of Science and Technology of Iran
Email: [email protected]

 

Amir Reza Moradi
University of Science and Technology of Iran
Email: [email protected]

In the recent years, innovation of GI Systems, have encouraged people to make spatial and non spatial data sources compatible with GIS structure. As in many countries, in Iran (National Cartographic Center of Iran), there is a great current intention to replace traditional cartographic styles for data preparation, with GIS suitable methods. This great intention has been resulted from the general and common customer requirements of NCC products. Regardless of customer pressure, traditional cartographic methods are associated with high volume of time consumption, high expenses and technical problems. Such reasons significantly pull the NCC to find GI solutions. During the last two years, Geospatial functions have been found to be useful. Rather than independent deployment of simple spatial functions, combination of spatial functions has exhibited wonderful power to solve current and potential problems of NCC. Regulation of standard spatial imperative language causes significant innovations in distribution of common solutions among GIS specialists. Such idea besides the standardization process for sensor outputs, conceptual model structures and spatial implementation routines let the GIS specialists to design and come over the more sophisticated spatial problems. Concept of this paper is to lead towards creation of spatial software labs due to deployment of virtual convolution matrixes as the high level combined spatial functions.