2018 QUARTER 03

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

Define “intervisibility”
Outline an algorithm to determine the viewshed (area visible) from specific locations on surfaces specified by DEMs
Perform siting analyses using specified visibility, slope, and other surface related constraints
Explain the sources and impact of errors that affect intervisibility analyses

Describe the relationships between kernels and classical spatial interaction approaches, such as surfaces of potential
Outline the likely effects on analysis results of variations in the kernel function used and the bandwidth adopted
Explain why and how density estimation transforms point data into a field representation
Explain why, in some cases, an adaptive bandwidth might be employed
Create density maps from point datasets using kernels and density estimation techniques using standard software
Differentiate between kernel density estimation and spatial interpolation

Explain how spatial data mining techniques can be used for knowledge discovery
Explain how a Bayesian framework can incorporate expert knowledge in order to retrieve all relevant datasets given an initial user query
Explain how visual data exploration can be combined with data mining techniques as a means of discovering research hypotheses in large spatial datasets

Describe the relationship between the semi-variogram and kriging
Explain why it is important to have a good model of the semi-variogram in kriging
Explain the concept of the kriging variance, and describe some of its shortcomings
Explain how block-kriging and its variants can be used to combine data sets with different spatial resolution (support)
Compare and contrast block-kriging with areal interpolation using proportional area weighting and dasymetric mapping
Outline the basic kriging equations in their matrix formulation
Conduct a spatial interpolation process using kriging from data description to final error map
Explain why kriging is more suitable as an interpolation method in some applications than others

Identify the positions necessary to design and implement a GIS
Discuss the advantages and disadvantages of outsourcing elements of the implementation of a geospatial system, such as data entry
Evaluate the labor needed in past cases to build a new geospatial enterprise
Create a budget of expected labor costs, including salaries, benefits, training, and other expenses

Distinguish between GIS, LIS, and CAD/CAM in the context of land records management
Evaluate the difference in accuracy requirements for deeds systems versus registration systems
Exemplify and compare deed descriptions in terms of how accurately they convey the geometry of a parcel
Distinguish between topological fidelity and geometric accuracy in the context of a plat map

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 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

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