Not to mention impossibly expensive to create in the first place.Įrrors are introduced in the original act of measuring locations on the Earth surface.Įrrors are also introduced when second- and third-generation data is produced, say, by scanning or digitizing a paper map. Like the proverbial 1:1 scale map, however, perfect data would be too large, and too detailed to be of any practical use. Perfect data would fully describe the location, extent, and characteristics of phenomena exactly as they occur at every moment. In general, however, the key criteria are how much error is present in a data set, and how much error is acceptable. In the context of geographic data, the ultimate standard of quality is the degree to which a data set is fit for use in a particular application. These are fun, thought-provoking exercises to help you better understand the ideas presented in the chapter. This chapter explores the technologies and procedures used to produce positional data, and the factors that determine its quality. In practice, positions occupy 2- or 3-dimensional areas as a result of the limited resolution of measurement technologies and the limited precision of location coordinates.
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