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Planetary Map Data Model for Geologic Mapping

Bibliographic Data

ID12750985
AuthorsS van Gasselt (0000-0003-2130-6343, corresponding author), Andrea Naß (0000-0001-7172-5170)
Year2011
Volume38
Issue2
Pages201-212
Publication date2011-01-01
Open AccessNo
TypeARTICLE
VenueCartography and Geographic Information Science (JOURNAL)
Journal identifiersISSN: 1523-0406 • E-ISSN: 1545-0465
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1559/15230406382201
OpenAlexW2025296105
LanguageEN

Geologic mapping and the design of geologic (thematic) maps are nowadays supported by Geographic Information Systems (GIS). In order to gain a high degree of efficiency and to allow exchange of a common structured framework for mapping, map data models have been designed by agencies and individuals in order to support their mapping process. Only a limited number of such models are freely available and most of them are on a conceptual level. They support mappers in their work to define spatial geologic map units by integrating field and remote-sensing information and relate them to non-spatial information, in particular genetic surface types, rock composition, age and age relationships, attitude data, and other surface characteristics. All of these attributes are interrelated and require data models that depict these complex relationships without becoming too complicated for the mapper. Solutions on the basis of database management systems and server-client communication are highly efficient but they cannot be easily employed and require dedicated administration. A well-established alternative are file-based geodatabase concepts which are much more accessible but which also suffer from a number of limitations when it comes to administration and querying data. The scope of this work is to find an accessible solution for working on and with geologic maps for planetary surfaces. We here present a planetary map data model (PMDM) design that has been implemented within Environmental Systems Research Institute's (ESRI) ArcGIS environment for systematic geologic and geomorphologic mapping of different planetary surfaces. The model copes with different genetic surface types, planetary stratigraphic systems, surface chronologies, specific naming conventions, and different body references. Additional and innovative assets are integrated solutions for semi-automated symbol assignments based on published standards (FGDC) and the possibility to perform topology checks on surface type features and units

Cartography · Conceptual model · Data mapping · Data mining · Data model (GIS · Data science · Database · Field (mathematics · Geographic information system · Geography · Geologic map · Geospatial analysis · Information retrieval · Information system · Process (computing · Remote sensing · Satellite imagery · Scope (computer science · Spatial analysis · Spatial database · Thematic map · Thematic Mapper · Computer Science · Engineering · Geochemistry and Geologic Mapping · Geographic Information Systems Studies · Geological Modeling and Analysis · Artificial Intelligence

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