Resampling means to change the spatial resolution of the raster data set and the value for the polymerization or all new rule set interpolation pixel size, pixel size can be changed, but the scope of the raster data set will remain unchanged. After resampling raster data for each pixel will have a unique attribute value. The effect of resampling is the pixel gray value changes, and with the coordinate system does not matter, you can use query pixel gray values identify tools, see the changes resampling. When the value of the conventional raster data set does not meet the requirements, often resampling the sampling raster data interpolation operation.
Reclassification refers to the reclassification of the value of the grid. To reclassify range of values, in addition to the boundary of two input ranges, the range should not overlap. In an overlap position, the maximum value of the lower range will be included in the input range, the higher the minimum value of the input range is not included in the range. For example, if the two specified range, such as a value from 1 to 5 reclassified as 100, will be re-classified as 5 to 10 200, the input value is less than or equal to 5 is assigned to the output value 100, and greater than 5 input value (e.g., 5.1) to 200 will be specified. Usually in ArcGIS reclassification quickly re-classified data based on tables or reclassification remap table. In ASCII remap table, for example:
Value Symbol
3 1
5 2
10 3
15 4
Which table means:
The value of 3 or less as a symbolic picture element 1.
The value greater than 3 and less than or equal to the specified pixel 25 of a symbol.
The value greater than 5 and less than or equal to 10 as a symbolic picture element 3.
The values greater than 10 and less than or equal pixel 415 is designated as a symbol.
The pixel value greater than 15 is designated as NoData.