Abstract
Access to well-structured and sometimes self-describing spatial position data with associated data attributes in geographical scales domains is increasing, and is expected to increase further. Until recently, it has often been sufficient to treat data sets as autonomous, dropping positional metadata attributes for analysis and visualization. It may be argued that this is short-sighted, because positional data from different sources may not then...
Paper Details
Title
Approaches to Classes for Spatial Data in R
Published Date
Jan 1, 2003
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History