2016 QUARTER 02

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

Explain how knowledge of the history of the development of enterprise GIS can aid in an implementation process
Evaluate case studies of past GISs to identify factors leading to success and failure
Discuss the evolution of isolated GIS projects to enterprise GIS

Describe some variants of Dijkstra’s algorithm that are even more efficient
Discuss the difference of implementing Dijkstra’s algorithm in raster and vector modes
Demonstrate how K-shortest path algorithms can be implemented to find many efficient alternate paths across the network
Compute the optimum path between two points through a network with Dijkstra’s algorithm
Explain how a leading World Wide Web-based routing system works (e.g., MapQuest, Yahoo Maps, Google)

Describe contracts, licenses, and other mechanisms for sharing geospatial data
Outline the terms of a licensing agreement with a local engineering consulting firm that a manager of a county government GIS office would employ if charged to recoup revenue through sale and licensure of county data

Describe the nature of tort law generally and nuisance law specifically
Describe strategies for managing liability risk, including disclaimers and data quality standards
Describe cases of liability claims associated with misuse of geospatial information, erroneous information, and loss of proprietary interests
Differentiate among contract liability, tort liability, and statutory liability

Discuss dynamic segmentation as a process for transforming between linear and planar coordinate systems
Construct a data structure to contain point or linear geometry for database record events that are referenced by their position along a linear feature
Explain how linear referencing allows attributes to be displayed and analyzed that do not correspond precisely with the underlying segmentation of the network features
Describe how linear referencing can eliminate unnecessary segmentation of the underlying network features due to attribute value changes over time
Demonstrate how linear referenced locations are often much more intuitive and easy to find in the real world than geographic coordinates

Describe an application in which a linear referencing system is particularly useful
Explain how the datum associated with a linear referencing system differs from a horizontal or vertical datum
Identify several different linear referencing methods (e.g., mileposts, reference posts, link and node) and compare them to planar grid systems
Identify the characteristics that all linear referencing systems have in common Unit GD4 Datums (core unit) “Horizontal” datums define the geometric relationship between a coordinate system grid and the Earth’s surface, where the Earth’s surface is approximated by an ellipsoid or other figure. “Vertical” datums are elevation reference surfaces, such as mean sea level.
Explain how a network can be used as the basis for reference as opposed to the more common rectangular coordinate systems
Discuss the magnitude and cause of error generated in the transformation from linear to planar coordinate systems

Describe the effect of non-stationarity on local indices of spatial association
Decompose Moran’s I and Geary’s c into local measures of spatial association
Compute the Gi and Gi* statistics
Explain how geographically weighted regression provides a local measure of spatial association
Explain how a weights matrix can be used to convert any classical statistic into a local measure of spatial association
Compare and contrast global and local statistics and their uses

Describe the structure of origin-destination matrices
Explain Weber’s locational triangle
Assess the outcome of location-allocation models using other spatial analysis techniques
Compare and contrast covering, dispersion, and p-median models
Locate, using location-allocation software, service facilities that meet given sets of constraints
Explain the concepts of demand and service

Determine which relationships need to be stored explicitly in the database
Create logical models based on conceptual models and general data models using UML or other tools
Differentiate between conceptual and logical models, in terms of the level of detail, constraints, and range of information included
Evaluate the various general data models common in GIS&T for a given project, and select the most appropriate solutions
Distinguish between the incidental and structural relationships found in a conceptual model
Explain the various types of cardinality found in databases
Define the cardinality of relationships

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