analysis - Exploratory data analysis for GIS 1. Data...

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1 Exploratory data analysis for GIS 1. Data source/characteristics – aspatial considerations : a. Do the data represent a sample or a population? i. The appropriateness or interpretation of various statistical techniques and “statistical maps” (e.g., maps of geographically weighted regression coefficients) depend on whether the data represent a sample or population. b. If the data represent a sample, what kind of sampling design was used and what problems characterize its implementation? c. What are the non-sampling errors (i.e. non-sampling sources of bias)? i. Is the data-collecting study appropriately conceptualized? ii. Are the variables appropriately defined and measured? iii. Are the data appropriately collected within the framework of the sample design? iv. Are there errors of data processing/reporting? 1. Check errata (e.g., U.S. Census errata) when they are available. 2. E.g., check that series of variables (such as “race,” gender, and housing categories) sum to the appropriate totals. d. In general, check the univariate, bivariate, and
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This note was uploaded on 07/11/2011 for the course SYA 6356 taught by Professor Staff during the Spring '08 term at University of Florida.

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analysis - Exploratory data analysis for GIS 1. Data...

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