Differentiate between a controlled vocabulary and an ontology
Describe a domain ontology or vocabulary (i.e., land use classification systems, surveyor codes, data dictionaries, place names, or benthic habitat classification system)
Describe how a domain ontology or vocabulary facilitates data sharing
Define “thesaurus” as it pertains to geospatial metadata
Describe the primary focus of the following content standards: FGDC, Dublin Core Metadata Initiative, and ISO 19115
Differentiate between a content standard and a profile
Describe some of the profiles created for the Content Standard for Digital Geospatial Metadata (CSDGM)
Collaborate effectively with colleagues of differing social backgrounds in developing balanced GIS applications
Describe the ways in which the elements of culture (e.g., language, religion, education, traditions) may influence the understanding and use of geographic information
Recognize the impact of one’s social background on one’s own geographic worldview and perceptions and how it influences one’s use of GIS
Cyberinfrastructure (sometimes referred to as e-infrastructure and e-science) integrates cutting-edge digital environments to support collaborative research and education for computation- and/or data-intensive problem solving and decision making (Wang 2010).
Identify the conceptual and practical difficulties associated with data model and format conversion
Convert a data set from the native format of one GIS product to another
Discuss the role of metadata in facilitating conversation of data models and data structures between systems
Describe a workflow for converting and implementing a data model in a GIS involving an Entity-Relationship (E-R) diagram and the Universal Modeling Language (UML)
Analyze the relative performance of data retrieval strategies
Implement algorithms that retrieve geospatial data from a range of data structures
Describe the particular advantages of Morton addressing relative to geographic data representation
Discuss the advantages and disadvantages of different data structures (e.g., arrays, linked lists, binary trees, hash tables, indexes) for retrieving geospatial data
Compare and contrast direct and indirect access search and retrieval methods
DM-58 - Content standards