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We here address key issues concerning the field of planetary mapping by making use of established GIS environments and discuss methods of addressing data organization and mapping requirements by using an easily integrable datamodel that is for the time being designed as file-geodatabase (FileGDB) environment in ESRI's ArcGIS.
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Another significant development involves "ontologies"—a kind of knowledge map to facilitate data organization and mining for certain predefined purposes (Noy and Musen 2003; Rubin et al. 2006; Stoeckert et al. 2006).
Data organization and dissemination.
This new method is comprised of four steps: data extraction, data organization, development of a conceptual map, and operationalization vis-a-vis a codebook.
A data discovery portal that searches multiple partner institutions and organizations for spatial data and maps.
Numeric data and mapping software.
Numerical data and mapping software.
The data organization method consisted of 4 levels of refinement: 1) extraction and 2) organization of data; 3) creation of a conceptual map of guideline implementability; and 4) the development of a codebook of definitions.
Besides the actual mapping, key components of such a mapping datamodel deal with the organization and search for image-sensor data and previous mapping efforts, as well as the proper organization of cartographic representations and assignments of geologic/geomorphologic units within their stratigraphic context.
Books contain both data and maps.
For more detailed summaries of the above and other Clickingchange items, audionpodcasts and tearthare freely available.
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