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Geospatial Technology

5.2 Analysis and Modeling

Understanding and applying the analytical functions (“exploratory” analyses as well as model-driven analyses) of geospatial software tools.

Critical Work Functions

  • 5.2.1 Perform a buffer operation in GIS software.
  • 5.2.2 Implement standard analytical procedures to perform common geospatial tasks, such as suitability overlay analysis.
  • 5.2.3 Develop new analysis procedures to solve novel or unstructured geospatial tasks.
  • 5.2.4 Use GIS software to identify an optimal route that accounts for visibility, slope, and specified land use or land cover.
  • 5.2.5 Use location-allocation software functions to locate service facilities that satisfy given constraints.
  • 5.2.6 Develop conceptual, logical, and physical models of a geospatial database designed in response to user requirements.
  • 5.2.7 Recognize the impact of the Modifiable Areal Unit Problem on the apparent spatial and statistical patterns found in geospatial data.
  • 5.2.8 Select, use, and interpret geospatial modeling techniques appropriately with respect to their characteristics.
  • 5.2.9 Apply predictive models to study geographic patterns and processes.
  • 5.2.10 Employ cartographic techniques to represent different kinds of uncertainty, including uncertain boundary locations, transitional boundaries, and ambiguity of attributes.
  • 5.2.11 Understand how to represent boundaries in plats, records, and descriptions as stipulated in legal statute and precedent.
  • 5.2.12 Determine the appropriate image data and image analysis techniques needed to fulfill project requirements.
  • 5.2.13 Pre-process digital remotely sensed data using procedures such as geometric correction, radiometric correction, and mosaicking with an awareness of their impact on data quality.
  • 5.2.14 Take potential pre-processing into account when using products characterized as Analysis Ready Data (ARD).
  • 5.2.15 Quantify the thematic accuracy of a land cover map derived from remotely-sensed imagery.
  • 5.2.16 Determine the thematic accuracy of a data product using ground verification methods.
  • 5.2.17 Select and use pixel-based or object-based classification of imagery data appropriately based on data and project requirements.
Technical Content Areas

  • 5.2.18 Analytical Methods
    • Basic Analytical Operations, such as buffers, overlay, neighborhoods, and map algebra
    • Basic Analytical Methods, such as point pattern analysis, spatial cluster analysis, multi-criteria evaluation, and spatial process models
    • Analysis of Surfaces, including interpolation of surfaces, surface features, and viewshed analysis
    • Geostatistics, including spatial sampling, semi-variogram modeling, and kriging
    • Data Mining, including pattern recognition
    • Network Analysis, including least-cost paths, flow modeling, and accessibility modeling
  • 5.2.19 Design Aspects
    • Analysis Design
  • 5.2.20 Data Modeling
    • Database Design
  • 5.2.21 Geocomputation
    • Neurocomputing
    • Cellular Automata Models
    • Heuristics
    • Genetic algorithms
    • Agent-based Models
    • Simulation Models
    • Uncertainty
  • 5.2.22 Geospatial Data
    • Land Surveying
    • Field Data Collection
    • Remote Sensing, including algorithms and processing
  • 5.2.23 Cartography and Visualization
    • Graphic Representation Techniques, including dynamic and interactive displays, Web mapping and visualizations, and visualization of uncertainty
  • 5.2.24 GIS&T and Society
    • Ethical Aspects, including obligations to individuals, to employers and clients, to colleagues and the profession, and to society
    • Legal Aspects, including liability
  • 5.2.25 Organizational and Institutional Aspects
    • Allied industries in which professionals need to understand geographic principles:
      • Agribusiness;
      • Economic Development;
      • Military/Intelligence;
      • Homeland Security;
      • Emergency Management & E911;
      • Environmental and Natural Resources;
      • Forestry;
      • Coastal and Marine Resources Management;
      • Real Estate and Land Management;
      • Telecommunications;
      • Energy, Exploration and Mining;
      • Utilities (Public and Private) and Power Generation;
      • City, State, County, Provincial and other Local Government;
      • Transportation and Logistics (Fleet Management, Mobile Resource Management, Road and Highway Planning and Maintenance);
      • Urban and Regional Planning;
      • Mobile Location-Based Services and Communication (Navigation, Location-based alerts, Location-based gaming, Location-based search); and
      • Telematics
    • Allied industries in which geographic information is a crucial part of many job functions:
      • Advertising, Marketing and Market Research;
      • Architecture, Engineering and Construction;
      • Banking and Finance;
      • Insurance;
      • Cultural Resource Management;
      • Health Care;
      • Education;
      • Journalism and Publishing;
      • Law Enforcement;
      • Manufacturing;
      • Politics and Elections;
      • Public Safety and Health;
      • Restaurants and Food Service;
      • Entertainment;
      • Retail; and
      • Tourism