2016 QUARTER 02

A B C D E F G H I K L M N O P R S T U V W

Demonstrate how DBMS are currently used in conjunction with GIS
Diagram network DBMS architecture
Differentiate among network, hierarchical and relational database structures, and their uses and limitations for geographic data storage and processing
Describe the geo-relational model (or dual architecture) approach to GIS DBMS
Explain why some of the older DBMS are now of limited use within GIS
Diagram hierarchical DBMS architecture

List the range of factors that should be considered in selecting colors
Discuss the role of “gamut” in choosing colors that can be reproduced on various devices and media
Explain how real-world connotations (e.g., blue=water, white=snow) can be used to determine color selections on maps
Exemplify colors for different forms of harmony, concordance, and balance
Estimate RGB (red, green, blue) primary amounts in a selection of colors
Plan color proofing suited for checking a map publication job
Select colors appropriate for map readers with color limitations
Specify a set of colors in device-independent Commision Internationale de L’Eclairage (CIE) specifications
Determine the CMYK (cyan, magenta, yellow, and black) primary amounts in a selection of colors
Select a color scheme (e.g., qualitative, sequential, diverging, spectral) that is appropriate for a given map purpose and variable
Describe how cultural differences with respect to color associations impact map design
Describe the common color models used in mapping
Describe color decisions made for various production workflows

Identify common-sense views of geographic phenomena that sharply contrast with established theories and technologies of geographic information
Differentiate applications that can make use of common-sense principles of geography from those that should not
Collaborate with non-GIS experts who use GIS to design applications that match commonsense understanding to an appropriate degree
Effectively communicate the design, procedures, and results of GIS projects to non-GIS audiences (clients, managers, general public)
Evaluate the impact of geospatial technologies (e.g., Google Earth) that allow non-geospatial professionals to create, distribute, and map geographic information

Differentiate the three major parts of a model
Describe the mapping from components of the world (and conceptualizations of them) to the components of a model
Explain the importance of context in effectively using models
Identify the composition of existing models

Describe computational intelligence methods that may apply to GIS&T
Exemplify the potential for machine learning to expand performance of specialized geospatial analysis functions
Identify artificial intelligence tools that may be useful for GIS&T
Describe a hypothesis space that includes searches for optimality of solutions within that space

Explain how the concept “digital cartographic models” unifies a number of principles for computer cartography
Identify areas in cartography and visualization that have, and those that have not, advanced because of computational approaches
Explain how the rise of interoperability and open standards has affected the production of cartographic representations and visualizations
Explain how optimization techniques are improving the automated design of maps
Describe the structure and function of geographic names databases (i.e., gazetteer) for use in mapping
Differentiate between GIS and graphics software tools for mapping and those for visualization purposes

Use CASE tools to design geospatial software
Evaluate available CASE tools for their appropriateness for a given development task

Define entities and relationships as used in conceptual data models
Create a conceptual model diagram of data needed in a geospatial application or enterprise database
Design application-specific conceptual models
Deconstruct an application use case into conceptual components
Explain the objectives of the conceptual modeling phase of design
Describe the degree to which attributes need to be modeled in the conceptual modeling phase

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)

Differentiate “contracts for service” from “contracts of service”
Discuss potential legal problems associated with licensing geospatial information
Identify the liability implications associated with contracts

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