All Topics

GS-12 - Codes of ethics for geospatial professionals
  • Compare and contrast the ethical guidelines promoted by the GIS Certification Institute (GISCI) and the American Society for Photogrammetry and Remote Sensing (ASPRS)
  • Propose a resolution to a conflict between an obligation in the GIS Code of Ethics and organizations’ proprietary interests
  • Explain how one or more obligations in the GIS Code of Ethics may conflict with organizations’ proprietary interests
  • Describe the sanctions imposed by ASPRS and GISCI on individuals whose professional actions violate the codes of ethics
CV-09 - Color Theory
  • 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
CV-11 - Common Thematic Map Types
  • Describe the design considerations for each of the following methods: choropleth, dasymetric, proportioned symbol, graduated symbol, isoline, dot, cartogram, and flow map
  • Evaluate the strengths and limitations of each of the following methods: choropleth, dasymetric, proportioned symbol, graduated symbol, isoline, dot, cartogram, and flow map
  • Explain why choropleth maps should (almost) never be used for mapping count data and suggest alternative methods for mapping count data
  • Choose suitable mapping methods for each attribute of a given type of feature in a GIS (e.g., roads with various attributes such as surface type, traffic flow, number of lanes, direction such as one-way)
  • Select base information suited to providing a frame of reference for thematic map symbols (e.g., network of major roads and state boundaries underlying national population map)
  • Create maps using each of the following methods: choropleth, dasymetric, proportioned symbol, graduated symbol, isoline, dot, cartogram, and flow
  • Create well-designed legends using the appropriate conventions for the following methods: choropleth, dasymetric, proportioned symbol, graduated symbol, isoline, dot, cartogram, and flow
GS-17 - Common-sense geographies
  • 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
AM-50 - Components of models: data, structures, procedures
  • 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
AM-90 - Computational Movement Analysis

Figure 1. Group movement patterns as illustrated in this coordinated escape behavior of a group of mountain goat (Rubicapra rubicapra) evading approaching hikers on the Fuorcla Trupchun near the Italian/Swiss border are at the core of computational movement analysis. Once the trajectories of moving objects are collected and made accessible for computational processing, CMA aims at a better understanding of the characteristics of movement processes of animals, people or things in geographic space.
Computational Movement Analysis (CMA) develops and applies analytical computational tools aiming at a better understanding of movement data. CMA copes with the rapidly growing data streams capturing the mobility of people, animals, and things roaming geographic spaces. CMA studies how movement can be represented, modeled, and analyzed in GIS&T. The CMA toolbox includes a wide variety of approaches, ranging from database research, over computational geometry to data mining and visual analytics.

PD-04 - Computer-Aided Software Engineering (CASE) tools
  • Use CASE tools to design geospatial software
  • Evaluate available CASE tools for their appropriateness for a given development task
DM-34 - Conceptual data models

Within an initial phase of database design, a conceptual data model is created as a technology-independent specification of the data to be stored within a database. This specification often times takes the form of a formalized diagram.  The process of conceptual data modeling is meant to foster shared understanding among data modelers and stakeholders when creating the specification.  As such, a conceptual data model should be easily readable by people with little or no technical-computer-based expertise because a comprehensive view of information is more important than a detailed view. In a conceptual data model, entity classes are categories of things (person, place, thing, etc.) that have attributes for describing the characteristics of the things.  Relationships can exist between the entity classes.  Entity-relationship diagrams have been and are likely to continue to be a popular way of characterizing entity classes, attributes and relationships.  Various notations for diagrams have been used over the years. The main intent about a conceptual data model and its corresponding entity-relationship diagram is that they should highlight the content and meaning of data within stakeholder information contexts, while postponing the specification of logical structure to the second phase of database design called logical data modeling. 

DM-58 - Content standards
  • 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)
GS-02 - Contract law
  • Differentiate “contracts for service” from “contracts of service”
  • Discuss potential legal problems associated with licensing geospatial information
  • Identify the liability implications associated with contracts