2016 QUARTER 02

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

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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