This article from Esri’s ArcGIS Resource Center attempts to clarify the distinction between two data models used for storing spatial data in computer files. A few things that the article doesn’t say (or doesn’t say very well):
- Understanding feature classes and raster datasets is extremely important. Those two data models account for the overwhelming majority of the spatial data we encounter in our work.
- The term “feature class” is sufficient to define how a chunk of spatial data is structured. The article tosses in the terms “vector data model” and “the discrete-object view of the world” which is okay technically but doesn’t do anything to help someone in learning mode.
- The term “raster dataset” is sufficient to define how a chunk of spatial data is structured. The article tosses in the term “continuous-surface view of the world ” which is okay technically but doesn’t do anything to help someone in learning mode.
- Folks in learning mode may not realize how much of the data they encounter is in the form of raster datasets. Satellite images, orthophotos, elevation models and many other products are raster datasets by other names.
Generally speaking, the article does a pretty good job of differentiating the two most frequently encountered approaches for storing spatial data in computer files. CHECK IT OUT
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