2016 QUARTER 02

A B C D E F G H I K L M N O P R S T U V W
OI4-1 - GIS&T staff development
  • Describe issues that may hinder implementation and continued successful operation of a GIS if effective methods of staff development are not included in the process
  • Outline methods (programs or processes) that provide effective staff development opportunities for GIS&T
OI4-3 - GIS&T training and education
  • Compare and contrast training methods utilized in a non-profit to those employed in a local government agency
  • Discuss the National Research Council report on Learning to Think Spatially (2005) as it relates to spatial thinking skills needed by the GIS&T workforce
  • Find or create training resources appropriate for GIS&T workforce in a local government organization
  • Identify the particular skills necessary for users to perform tasks in three different workforce domains (e.g., small city, medium county agency, a business, or others)
  • Illustrate methods that are effective in providing opportunities for education and training when implementing a GIS in a small city
  • Teach necessary skills for users to successfully perform tasks in an enterprise GIS
  • Discuss different formats (tutorials, in house, online, instructor lead) for training and how they can be used by organizations
AM7-4 - Global measures of spatial association
  • Describe the effect of the assumption of stationarity on global measures of spatial association
  • Justify, compute, and test the significance of the join count statistic for a pattern of objects
  • Compute the K function
  • Explain how a statistic that is based on combining all the spatial data and returning a single summary value or two can be useful in understanding broad spatial trends
  • Compute measures of overall dispersion and clustering of point datasets using nearest neighbor distance statistics
  • Compute Moran’s I and Geary’s c for patterns of attribute data measured on interval/ratio scales
  • Explain how the K function provides a scale-dependent measure of dispersion
GD7-3 - Global Positioning System
  • Explain how GPS receivers calculate coordinate data
  • Discuss the relationship of GPS to the Global Satellite Navigation System
  • Explain “selective availability,” why it was discontinued in 2000, and what alternatives are available to the U.S. Department of Defense
  • Explain the relationship of the U.S. Global Positioning System with comparable systems sponsored by Russia and the European Union and the Global Navigation Satellite System
  • Discuss the role of GPS in location-based services (LBS)
  • Specify the features of a GPS receiver that is able to achieve geometric accuracies on the order of centimeters without post-processing
  • Explain the relevance of the concept of trilateration to both GPS positioning and control surveying
  • Perform differential correction of GPS data using reference data from a CORS station
  • List, define, and rank the sources of error associated with GPS positioning
  • Distinguish between horizontal and vertical accuracies when using coarse acquisition codes/standard positioning service (C-codes) and precision acquisition codes/precise positioning service (P-codes)
AM11-2 - Graph theoretic (descriptive) measures of networks
  • Demonstrate how networks can be measured using the number of elements in a network, the distances along network edges, and the level of connectivity of the network
  • Compute the detour index and the measure of network density for a given network
  • Compute the estimated number of fundamental cycles in a graph
  • Compute the alpha, beta, and gamma indices of network connectivity
  • Explain the concept of the diameter of a network
AM7-1 - Graphical methods
  • Describe the statistical characteristics of a set of spatial data using a variety of graphs and plots (including scatterplots, histograms, boxplots, q–q plots)
  • Select the appropriate statistical methods for the analysis of given spatial datasets by first exploring them using graphic methods
GC4-1 - Greedy heuristics
  • Demonstrate how to implement a greedy heuristic process
  • Identify problems for which the greedy heuristic also produces the optimal solution (e.g., Kruskal’s algorithm for minimum spanning tree, the fractional Knapsack problem)
DM3-3 - Grid compression methods
  • Illustrate the existing methods for compressing gridded data (e.g., run length encoding, Lempel-Ziv, wavelets)
  • Explain the advantage of wavelet compression
  • Evaluate the relative merits of grid compression methods for storage
  • Differentiate between lossy and lossless compression methods
DM3-1 - Grid representations
  • Explain how grid representations embody the field-based view
  • Differentiate among a lattice, a tessellation, and a grid
  • Explain how terrain elevation can be represented by a regular tessellation and by an irregular tessellation
  • Identify the national framework datasets based on a grid model
GD11-4 - Ground verification and accuracy assessment
  • Evaluate the thematic accuracy of a given soils map
  • Explain how U.S. Geological Survey scientists and contractors assess the accuracy of the National Land Cover Dataset

Pages