When
carrying out a territory (geographic) analysis, it is
vital to integrate a spatial database that meets the demands
and specifications set forth in the project requirements.
The database you need is not just a simple collection
of the data necessary but must organized in such a way
as to promote the efficient use of the information and
to get the most out of it.
The necessary data set, from the time its selected until it is fully integrated within the spatial data model, must go through several refinements to improve it is format, accuracy, and consistency. These include quality control, purging of unnecessary/inaccurate information, separation into "layers", topographic corrections, content georeferencing, standardization, and more.
The design of the ideal spatial data model is the combination of the project specifications and information availability. Generally speaking, this process consists of taking collecting a base of standard or commercial content, selecting only the "layer" information needed for the model, combining the layers and integrating them into the final data model that is connected to the system that will use the data.
To carry out this complex and detailed process, we have developed out own methodology and procedures to ensure that the data is fully prepared and the data model designed according to the client and project's requirements.
We have designed spatial data models for sectors including local administration, engineering firms, and particularly telecommunications. In this last sector, the quality and efficiency of Genasys data models has made them the standard for mobile operators in Spain.
For more information about how Genasys can help you design
an intelligent spatial data model, contact us today.
