2016 QUARTER 02

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

Name the authorities used to confirm the spelling of geographic names for a specific mapping project
Compare and contrast the strengths and limitations of methods for automatic label placement
Compare and contrast the relative merits of having map labels placed dynamically versus having them saved as annotation data
Explain how text properties can be used as visual variables to graphically represent the type and attributes of geographic features
Explain how to label features having indeterminate boundaries (e.g., canyons, oceans)
Position labels on a map to name point, line, and area features
Apply the appropriate technology to place name labels on a map using a geographic names database
Set type font, size, style, and color for labels on a map by applying basic typography design principles
Create a set of mapping problems that can be used to illustrate point, line, and area label conventions for placing text on maps
Solve a labeling problem for a dense collection of features on a map using minimal leader lines
Describe the role of labels in assisting readers in understanding feature locations (e.g., label to the right of point, label follows line indicating its position, area label assists understanding extent of feature and feature type)

Compare and contrast the typical spatial arrangements of land parcels characteristic of early English, Spanish, and French settlements in the U.S.
State a metes and bounds land description of a property parcel delineated in a land survey drawing
Discuss advantages and disadvantages of unsystematic land partitioning methods in the context of GIS

Develop a plan to provide user support to aid in the implementation process
Illustrate how the failure of successfully engaging user support can affect the outcome of a GIS implementation project

List and describe the types of data maintained by local, state, and federal governments
Explain how geospatial information might be used in a taking of private property through a government’s claim of its right of eminent domain
Describe how geospatial data are used and maintained for land use planning, property value assessment, maintenance of public works, and other applications
Explain the concept of a “spatial decision support system”

Define a homomorphism as a mathematical property
Evaluate existing systems to determine whether they are adequate representations
Assess the data quality needed for a new application to be successful
Recognize the advantages and disadvantages of using models to study and manage the world as opposed to experimenting in the world directly
Describe the ways in which an existing model faithfully represents reality and the ways in which it does not

Compare and contrast the meanings of related terms such as vague, fuzzy, imprecise, indefinite, indiscrete, unclear, and ambiguous
Describe the cognitive processes that tend to create vagueness
Recognize the degree to which vagueness depends on scale
Evaluate vagueness in the locations, time, attributes, and other aspects of geographic phenomena
Differentiate between the following concepts: vagueness and ambiguity, well defined and poorly defined objects and fields, and discord and non-specificity
Identify the hedges used in language to convey vagueness
Evaluate the role that system complexity, dynamic processes, and subjectivity play in the creation of vague phenomena and concepts
Differentiate applications in which vagueness is an acceptable trait from those in which it is unacceptable

Distinguish between operational, organizational, and societal activities that rely upon geospatial information
Describe the potential benefits of geospatial information in terms of efficiency, effectiveness, and equity
Explain how cost-benefit analyses can be manipulated
Compare and contrast the evaluation of benefits at different scales (e.g., national, regional/state, local)
Identify practical problems in defining and measuring the value of geospatial information in land or other business decisions

Describe the source data, instrumentation, and workflow involved in extracting vector data (features and elevations) from analog and digital stereoimagery
Discuss future prospects for automated feature extraction from aerial imagery
Discuss the extent to which vector data extraction from aerial stereoimagery has been automated

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