1. Which of the following is an example of map generalization?

1. Coordinate transformation
2. Buffering
3. Polygon overlay
4. Polygons coordinate thinning

Polygons coordinate thinning

2. Generalization is the process by which:

1. Real-world features are selected or not selected for inclusion on a map.
2. The cartographer communicates the spatial pattern and organization of real-world objects on a map.
3. Point, line, and area symbolism is chosen.
4. Misleading or erroneous information is added to a map.
5. Real-world features are simplified to allow them to be drawn on a map at reduced scale.

Real-world features are simplified to allow them to be drawn on a map at reduced scale.
The cartographer communicates the spatial pattern and organization of real-world objects on a map.
Real-world features are selected or not selected for inclusion on a map.

3. How is a large city most likely to be represented on a 1:25,000 scale map?

1. As a collection of points, lines and areas
2. As a collection of points
3. As a single point
4. As an area
5. As a line

As a collection of points, lines and areas

4. What does 1mm on a map drawn at a scale of 1:50,000 represent on the ground.

1. 500 centimeters
2. 50 centimeters
3. 50 metres
4. 5 metres

50 metres

5. Which of the following list are appropriate definitions of scale?

1. The lines on a map representing north-south and east-west directions
2. The ratio of a distance on a map to the corresponding distance on the ground
3. An indication of how big an object represented on the map is on the ground
4. The order of magnitude or level of generalization at which phenomena exist or are perceived or observed
5. A conversion factor used to transform map projections.

The order of magnitude or level of generalization at which phenomena exist or are perceived or observed
An indication of how big an object represented on the map is on the ground
The ratio of a distance on a map to the corresponding distance on the ground

6. Which of the following are considered key elements of a paper map?

1. Annotation
2. Scale bar or ratio
3. Map features (points, lines, areas, surfaces)
4. Projection information
5. Pictures and anecdotal evidence

Projection information
Annotation
Map features (points, lines, areas, surfaces).
Scale bar or ratio.

7. Which of the following is not a type of map projection?

1. Azimuthal
2. Cylindrical
3. Geographic
4. Conic

Geographic

8. Which type of projection is The UKs Ordnance Survey National Grid?

1. Universal Transverse Mercator
2. Lambert Conformal Conic
3. Alber's Equal Area
4. Interrupted Goode Homolosine

Universal Transverse Mercator

11. Resolution may best be defined as:

1. the smallest feature that can be mapped or measured
2. the smallest unit or measurement into which data can be disaggregated
3. the overall quality of a data set
4. the size of the smallest recording unit
5. the accuracy and precision of the data

The size of the smallest recording unit
the smallest feature that can be mapped or measured

12. What does the abbreviation GPS stand for?

1. Geographical Point Software
2. Global Point Selection
3. Global Positioning System
4. Geographical Position System

Global Positioning System

13. What is the name of the Russian equivalent of GPS?

1. IKONOS
2. GPESKI
3. GLASNOST
4. GLONASS

GLONASS

24. What is coordinate thinning?

Coordinate thinning involves the weeding or reduction of coordinate pairs, e.g. X and Y, from arcs. This function is often required when data has been captured with too many vertices for the linear features. This can result in redundant data and large data volumes. The weeding of coordinates is required to reduce this redundancy.

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25. What is geometric transformations?

Geometric transformations function is concerned with the registering of a data layer to a common coordinate scheme. This usually involves registering selected data layers to a standard data layer already registered. The term rubber sheeting is often used to describe this function. Rubber sheeting involves stretching one data layer to meet another based on predefined control points of known locations. Two other functions may be categorized under geometric transformations. These involve warping a data layer stored in one data model, either raster or vector, to another data layer stored in the opposite data model. For example, often classified satellite imagery may require warping to fit an existing forest inventory layer, or a poor quality vector layer may require warping to match a more accurate raster layer.