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The vector data model uses the geometric objects of point, line, and polygon to represent spatial features.Section 4.1 covers the basic elements of raster data including cell value, cell size, cell depth, bands, and spatial reference.Although ideal for discrete features with well-defined locations and shapes, the vector data model does not work well with spatial phenomena that vary continuously over the space such as precipitation, elevation, and soil erosion.They include digital elevation data, satellite images, digital orthophotos, scanned maps, and graphic files.Commercial GIS packages can display raster and vector data simultaneously, and can easily convert between these two types of data.The value in each grid cell corresponds to the characteristic of a spatial phenomenon at the cell location.A wide variety of data used in GIS are encoded in raster format.And Section 4.6 discusses data conversion and integration of raster and vector data.In many ways, raster and vector data complement each other.


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The vector data model uses the geometric objects of point, line, and polygon to represent spatial features. Although ideal for discrete features with well-defined locations and shapes, the vector data model does not work well with spatial phenomena that vary continuously over the space such as precipitation, elevation, and soil erosion. A better option for representing continuous phenomena is the raster data model, also called the field-based model. The raster data model uses a regular grid to cover the space. The value in each grid cell corresponds to the characteristic of a spatial phenomenon at the cell location. And the changes in the cell value reflect the spatial variation of the phenomenon. Unlike the vector data model, the raster data model has not changed in terms of its concept for the past four decades. Research on the raster data model has instead concentrated on data structure and data compression. A wide variety of data used in GIS are encoded in raster format. They include digital elevation data, satellite images, digital orthophotos, scanned maps, and graphic files. Raster data tend to require large amounts of the computer memory. Therefore, issues of data storage and retrieval are important to raster data users. Commercial GIS packages can display raster and vector data simultaneously, and can easily convert between these two types of data. In many ways, raster and vector data complement each other. Integration of these two types of data has therefore become a common and desirable feature in a GIS project. Chapter 4 is divided into the following six sections. Section 4.1 covers the basic elements of raster data including cell value, cell size, cell depth, bands, and spatial reference. Section 4.2 presents different types of raster data. Section 4.3 describes three different raster data structures. Section 4.4 focuses on data compression methods. Section 4.5 presents different raster data file formats. And Section 4.6 discusses data conversion and integration of raster and vector data.


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