Graduate Thesis Or Dissertation
 

Determination of geographic information system database characteristics : an application of the information integration theory

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/9019s6919

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  • The development of a geographic information system (GIS) requires the development of large databases of spatially related information. Scale, resolution and the classification of thematic data can vary considerably in terms of the level of detail at which the data are compiled and converted to machine readable form. The level of detail chosen for GIS databases will have an impact on system costs and upon the level and types of analyses which can be performed. Questionnaire and interview techniques used in GIS and cartographic design studies have not been adequate to identify user requirements. This research presents an information integration design instrument which identifies the kinds of tradeoffs data users are willing to make concerning levels of detail and cost in utilizing GIS land use land cover databases. The information integration theory was developed by N. H. Anderson as a methodological framework for analyzing how a variety of factors are combined or integrated in the decision making process. An information integration factorial design was developed and presented in two case studies to measure the importance of two key factors: resolution and land cover classification level in the utilization of a GIS database for natural resources planning. The case study participants were asked to evaluate the utility of a number of hypothetical databases to solve the problems presented in the case studies. In a subsequent exercise, they were given the database development prices and asked to evaluate the cost effectiveness of each database to solve the presented problems. Participants included resource planners and managers from state agencies in Oregon and Washington. The case study results demonstrated: 1. cost has an impact upon user perception of the value of information; 2. there is a great deal of variability in the evaluation of data, even among colleagues with similar backgrounds and responsibilities.
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