Cartographic modeling
Cartographic modeling refers to a process where several thematic layers of the same area are produced, processed, and analyzed. Cartographic modeling uses raster layers, but the overlay method can be used more generally. Operations on map layers can be combined into algorithms, and eventually into simulation or optimization models.
Map overlay
The combination of several spatial data sets (points, lines or polygons) creates a new output vector data set, visually similar to stacking several maps of the same region. These overlays are similar to mathematical Venn diagram overlays. A union overlay combines the geographic features and attribute tables of both inputs into a single new output. An intersect overlay defines the area where both inputs overlap and retains a set of attribute fields for each. A symmetric difference overlay defines an output area that includes the total area of both inputs except for the overlapping area.
Data extraction is a GIS process similar to vector overlay, though it can be used in either vector or raster data analysis. Rather than combining the properties and features of both data sets, data extraction involves using a “clip” or “mask” to extract the features of one data set that fall within the spatial extent of another data set.
III. Answer the questions:
1. What are the main sources of data used for digital maps?
2. Why do data usually require editing after the entering into GIS? What errors can occur during the digitizing process?
3. How is the data described by points converted into the data described by lines or polygons?
4. Why should we convert data into different formats?
5. What is projection? Why is it so important?
6. How can we model different processes, for example rainfall, in cartography?
7. What is topological modeling? Where can it be applied?
8. Why is it so important to divide digital map into layers?
9. Where and what for is map overlaying used?
10. What is data extraction? Where can it be used?
11. What is the difference between 2 and 3 dimensions?
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