2018 QUARTER 01

A B C D E F G H I K L M N O P R S T U V W
KE-22 - User support
  • 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
CV-24 - User-Centered Design and Evaluation
  • Describe the baseline expectations that a particular map makes of its audience
  • Compare and contrast the interpretive dangers (e.g., ecological fallacy, Modifiable Areal Unit Problem) that are inherent to different types of maps or visualizations and their underlying geographic data
  • Identify several uses for which a particular map is or is not effective
  • Identify the particular design choices that make a map more or less effective
  • Evaluate the effectiveness of a map for its audience and purpose
  • Design a testing protocol to evaluate the usability of a simple graphical user interface
  • Perform a rigorous sampled field check of the accuracy of a map
  • Discuss the use limitations of the USGS map accuracy standards for a range of projects demanding different levels of precision (e.g., driving directions vs. excavation planning)
AM-49 - Using models to represent information and processes
  • 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
DM-30 - Vagueness
  • 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
KE-14 - Valuing and measuring benefits
  • 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
DC-14 - Vector data extraction
  • 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
CV-03 - Vector Formats and Sources
  • List the data required to explore a specified problem
  • Discuss the extent, classification, and currency of government data sources and their influence on mapping
  • List the data required to compile a map that conveys a specified message
  • Discuss the issue of conflation of data from different sources or for different uses as it relates to mapping
  • Describe a situation in which it would be acceptable to use smaller-scale data sources for compilation to compile a larger scale map
  • Describe the copyright issues involved in various cartographic source materials
  • Explain how data acquired from primary sources, such as satellite imagery and GPS, differ from data compiled from maps, such as DLGs
  • Explain how digital data compiled from map sources influences how subsidiary maps are compiled and used
  • Explain how geographic names databases (i.e., gazetteer) are used for mapping
  • Explain how the inherent properties of digital data, such as Digital Elevation Models, influence how maps can be compiled from them
  • Identify the types of attributes that will be required to map a particular distribution for selected geographic features
  • Determine the standard scale of compilation of government data sources
  • Assess the data quality of a source dataset for appropriateness for a given mapping task, including an evaluation of the data resolution, extent, currency or date of compilation, and level of generalization in the attribute classification
  • Compile a map using at least three data sources
AM-59 - Vector-to-raster and raster-to-vector conversions
  • Explain how the vector/raster/vector conversion process of graphic images and algorithms takes place and how the results are achieved
  • Create estimated tessellated data sets from point samples or isolines using interpolation operations that are appropriate to the specific situation
  • Illustrate the impact of vector/raster/vector conversions on the quality of a dataset
  • Convert vector data to raster format and back using GIS software
DM-51 - Vertical datums
  • Explain how a vertical datum is established
  • Differentiate between NAVD 29 and NAVD 88
  • Illustrate the difference between a vertical datum and a geoid
  • Illustrate the relationship among the concepts ellipsoidal (or geodetic) height, geoidal height, and orthometric elevation
  • Outline the historical development of vertical datums
CV-16 - Virtual and immersive environments
  • Discuss the nature and use of virtual environments, such as Google Earth
  • Explain how various data formats and software and hardware environments support immersive visualization
  • Compare and contrast the relative advantages of different immersive display systems used for cartographic visualization (e.g., CAVEs, GeoWalls)
  • Evaluate the extent to which a GeoWall or CAVE does or does not enhance understanding of spatial data
  • Explain how the virtual and immersive environments become increasingly more complex as we move from the relatively non-immersive VRML desktop environment to a stereoscopic display (e.g., a GeoWall) to a more fully immersive CAVE

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