All attribute values on a geographic surface is related to the other, but closer values is more strongly related than a Re more distant ones. A geographic thing or attribute is related to each other in spatial distribution, and there is a agglomeration (clustering), stochastic (random), rule (regularity) distribution.
————Waldo Tobler
The approximate framework for the Spatial data Processing section is as follows:
- Coordinate transformation
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- Affine transformations
- Similarity transformations
- Two-time transformations
- Coordinate projection
- Positive Solution Transformation
- Reverse-Solution Transformation
- Numeric transformations
- Data compression
- Data quality
- Accuracy (accuracy): the degree of proximity between the measured value and the truth.
- Accuracy (Precision): The level of detail described in the phenomenon.
- Uncertainty (uncertainty)
- Compatibility (compatibility): Refers to the ease with which data from two sources is used in the same application. For example, when two graphs are stitched together, the boundary line and type are compatible.
- Consistency (consistency): the degree of uniformity in the expression of the same or similar phenomenon.
- Completeness (completeness)
- Availability (Accessibility): Refers to the ease with which data is acquired or used.
- Current issues (timeliness): The index reflects the extent of the current state of the objective phenomenon.
- Structural transformations (lots of computer graphics involved)
- Generally refers to the conversion between vector, raster data: Since the conversion program usually occupies more memory, involving complex numerical operations, this has been one of the technical problems of geographic information system.
- Vector---grid
- Grids-Right amount
Post-course review of GIS: Spatial data processing-1. Approximate framework
