CUET UG Geography Booster Test 2 Raster and Vector Models
π Answers are locked once submitted β results and explanations appear at the end.
QUESTION 1 OF 20
Arrange the sequential steps by which a raster file reconstructs an image:
1. Sub-divide the paper into a matrix of small rectangles.
2. Observe a line drawn on a piece of paper.
3. Assign a position and attribute value to each cell.
QUESTION 2 OF 20
If an urban planner wants to map continuous forest cover using a simple structure of rows and columns, which specific generic element is being utilized?
QUESTION 3 OF 20
Consider the statements regarding grid size effect in raster data:
I. A larger grid cell size leads to a more precise map output.
II. A smaller grid cell size means a higher resolution and more cells.
Which of the above is/are correct?
QUESTION 4 OF 20
A 25m pixel grid mapping a specific area will result in 1440 pixels, while a 50m pixel grid for the same area will result in a ______ pixel count.
QUESTION 5 OF 20
Match the real-world application to the appropriate raster usage factor:
| List 1 | List 2 |
|---|---|
| 1. Low Budget Project | a. Compatible with satellite/scanned imagery |
| 2. Aerial Photography | b. When costs need to be kept down |
| 3. Land Surface Temperature Mapping | c. Suitable for continuous data representation |
| 4. Satellite Image Processing | d. Uses pixel-based grid cells for analysis |
QUESTION 6 OF 20
A researcher needs a simple map layer solely as a visual background behind specific feature points. Raster format is chosen because it acts as excellent ______ maps.
QUESTION 7 OF 20
Which of the following statements accurately reflects an advantage of the raster model's simple structure?
QUESTION 8 OF 20
Despite its simple structure, raster data suffers from storage inefficiency and potential loss of information when using ______ cells.
QUESTION 9 OF 20
Match the geographical entity to how it is structurally recorded in a vector model:
| List 1 | List 2 |
|---|---|
| 1. Point | a. Single X,Y coordinate pair |
| 2. Line | b. Sequential order of X,Y coordinate pairs |
| 3. Polygon | c. Closed sequence of coordinate pairs forming an area |
| 4. Node | d. Start, end, or intersection point of lines |
QUESTION 10 OF 20
Consider the following statements about point sequences in the vector model:
I. Polygons are constructed from closed sequences of lines or points.
II. A line is built from a random, un-ordered sequence of points.
Which of the above is/are true?
QUESTION 11 OF 20
Arrange the coordinate dimensions from lowest complexity to highest spatial complexity:
1. X, Y, Z coordinates (3D)
2. X coordinate only (1D distance)
3. X, Y coordinates (2D)
QUESTION 12 OF 20
To make this a 4-list Match the Following question:
Match the spatial axis to its measurement reference in a standard vector plane:
| List I | List II |
|---|---|
| 1. X-axis | A. Distance from the bottom of the paper |
| 2. Y-axis | B. Distance from the left side of the paper |
| 3. X-axis | C. Horizontal measurement direction |
| 4. Y-axis | D. Vertical measurement direction |
QUESTION 13 OF 20
In vector GIS, to delineate a lake boundary with strict area calculations, the topological structure must support ______ building.
QUESTION 14 OF 20
What is the primary reason why lines in a vector model have directional ordering?
QUESTION 15 OF 20
If an engineer requires a GIS format that handles specific descriptive information for individual, highly ______ applications, they should use vector data.
QUESTION 16 OF 20
Consider the following statements regarding feature analysis:
I. Raster files are best when individual map features require deep analysis.
II. Vector files are most often used when individual map features require analysis.
QUESTION 17 OF 20
Which attribute makes the vector data structure highly efficient for conducting road network analysis?
QUESTION 18 OF 20
Match the data model to its overlay analysis capability:
1. Vector Model
2. Raster Model
QUESTION 19 OF 20
QUESTION 20 OF 20
Test Complete!
Answer Review
1 Arrange the sequential steps by which a raster file reconstructs an image:
1. Sub-divide the paper into a matrix of small rectangles.
2. Observe a line drawn on a piece of paper.
3. Assign a position and attribute value to each cell.
The reconstruction process begins by examining a real-world linear or graphic feature on paper. The paper is then overlaid and systematically divided into a regular grid or matrix of small rectangles. Finally, each individual grid cell is assigned an explicit position and its corresponding attribute value.
To digitize or reconstruct an existing paper drawing into a raster data structure, the process follows a logical sequence. First, you must look at or choose the graphic feature, such as a line drawn on a piece of paper (Step 2). Next, that drawing area is sub-divided into an array or matrix of tiny rectangular units (Step 1). Finally, each grid cell in that matrix is evaluated to determine its specific position and attribute code based on the graphic elements passing through it (Step 3). This sequential flow is 2, 1, 3, which makes Option A the correct response.
- Option B β This places sub-division before observing what feature actually needs to be mapped, which breaks the logical order.
- Option C β This reverses the workflow entirely, trying to assign cell attributes before the grid matrix has even been established.
- Option D β This suggests assigning positions and cell values before the paper has been sub-divided into a cell matrix.
Used: Elimination
Application: Identify that an attribute value cannot be assigned to a cell (Step 3) until the cell matrix itself has been created (Step 1). This rules out options C and D.
Final Logic: Since you must observe the feature (Step 2) before drawing grid boxes over it (Step 1), the correct order must start with 2 and proceed to 1 then 3.
Look it (2), Grid it (1), Fill it (3).
2 If an urban planner wants to map continuous forest cover using a simple structure of rows and columns, which specific generic element is being utilized?
Continuous phenomena like vegetation or forest cover change smoothly without sharp walls. A simple architecture of rows and columns forms a regular grid workspace. This uniform grid arrangement is structurally known as a cell matrix.
The raster data model organizes geographic space into a continuous grid composed of horizontal rows and vertical columns. This structural grid is known as a cell matrix. When planners deal with continuous phenomena like forests or soil zones, a cell matrix is used because each block simply records an attribute value for that specific grid location. This matches Option B. Option A, coordinate pairs, and Option C, line networks, are vector concepts. Option D, Z elevation, is a specific vertical attribute value rather than a horizontal data structure made of rows and columns.
- Option A β Coordinate pairs identify discrete point locations in vector systems, rather than forming a row-and-column grid.
- Option C β Line networks represent connected discrete linear pathways like roads or pipes, which is a vector layout trait.
- Option D β Z elevation defines a vertical depth or height coordinate, not a two-dimensional grid of rows and columns.
Used: Option Grouping
Application: Group options A and C together as explicit vector components. Note that option D is a vertical value.
Final Logic: Any spatial layout built explicitly from a simple layout of rows and columns matches the definition of a raster cell matrix.
Rows + Columns = Matrix.
3 Consider the statements regarding grid size effect in raster data:
I. A larger grid cell size leads to a more precise map output.
II. A smaller grid cell size means a higher resolution and more cells.
Which of the above is/are correct?
Larger grid cells generalize information over a wide area, reducing detail and precision. Smaller grid cells divide the map area into many tiny parts, increasing spatial resolution. Therefore, statement I is incorrect, and statement II is correct.
Spatial resolution in raster formats is determined by the size of the individual cells. When the grid cell size is small, the map uses many more cells to represent an area, capturing small details with high spatial resolution. This makes statement II correct. Conversely, increasing the grid cell size means larger cells, which blends varied details together and makes the map output coarser and less precise. This makes statement I incorrect. Therefore, Option B is the correct choice.
- Option A β This is incorrect because larger cells reduce map precision instead of increasing it.
- Option C β This is incorrect because statement I is false; large grid cells reduce detail, so both statements cannot be true.
- Option D β This is incorrect because statement II is a factually accurate definition of raster spatial resolution.
Used: Elimination
Application: Evaluate statement I using basic grid logicβlarge blocks cause pixelation and lower precision, proving statement I false and eliminating options A and C.
Final Logic: Since smaller cells capture finer spatial details by increasing cell counts, statement II is correct, making Option B the right answer.
Small cells = Small details captured = High resolution.
4 A 25m pixel grid mapping a specific area will result in 1440 pixels, while a 50m pixel grid for the same area will result in a ______ pixel count.
A 50m pixel has a linear size that is twice as large as a 25m pixel. In terms of area, one 50m pixel covers the same space as four 25m pixels ($2 \times 2$). Since each cell covers a larger area, it takes fewer total pixels to cover the same map area, resulting in a lower pixel count.
When cell dimensions increase, each individual cell covers a larger portion of the study area. For example, a 50m cell covers $2500\text{ m}^2$, whereas a 25m cell covers only $625\text{ m}^2$. Because each 50m cell covers four times as much ground, you need fewer of them to cover the exact same map sheet. The total pixel count drops from 1440 down to 360 pixels ($1440 / 4$). Therefore, the 50m grid results in a lower pixel count, making Option B correct.
- Option A β A higher pixel count would require smaller grid cell sizes, not larger ones.
- Option C β The counts cannot be identical because changing the cell size changes how many cells fit within a fixed boundary.
- Option D β Infinite pixel counts are impossible because the map area is bounded and the cell sizes have fixed numbers.
Used: Dimensional/Unit Analysis
Application: Compare cell sizes mathematically. Since 50m is larger than 25m, fewer cell units are required to fill the same space.
Final Logic: Increasing the size of the grid units reduces the total number of pieces needed to cover the area, leading to a lower count.
Bigger chunks mean fewer pieces.
5 Match the real-world application to the appropriate raster usage factor:
| List 1 | List 2 |
|---|---|
| 1. Low Budget Project | a. Compatible with satellite/scanned imagery |
| 2. Aerial Photography | b. When costs need to be kept down |
| 3. Land Surface Temperature Mapping | c. Suitable for continuous data representation |
| 4. Satellite Image Processing | d. Uses pixel-based grid cells for analysis |
Raster data is economical and suitable when project costs must be kept low. Aerial photographs are naturally compatible with raster formats because they are image-based. Continuous phenomena such as temperature and elevation are best represented using raster cells. Satellite image processing relies on pixel-based grid structures.
The raster data model is widely used because of its simple grid-based structure. For low-budget projects, raster data can often be generated quickly from scanned maps or imagery, making it suitable when costs need to be kept down (1-b). Aerial photographs are captured as digital images composed of pixels, making them naturally compatible with satellite/scanned imagery (2-a). Raster data is also ideal for representing continuous geographic phenomena such as temperature, rainfall, and elevation because each cell can store a value for a continuous surface. Therefore, Land Surface Temperature Mapping = c (3-c). Similarly, Satellite Image Processing uses pixel-based imagery collected by sensors, making pixel-based grid cell analysis = d (4-d). Thus, the correct matching is: 1-b, 2-a, 3-c, 4-d, which corresponds to Option A.
- Option B incorrectly reverses the first two matches and swaps continuous data representation with pixel analysis.
- Option C incorrectly links aerial photography to pixel analysis instead of imagery compatibility and misassigns temperature mapping.
- Option D incorrectly associates low-budget projects with continuous data representation and misplaces the remaining characteristics.
Used: Application-Based Association
Application:
- Match each real-world use with the raster characteristic most directly responsible for that use:
- Budget β Cost-effective
- Photography β Image compatibility
- Temperature β Continuous data
- Satellite Processing β Pixel grids
Final Logic:
- Applying these relationships gives 1-b, 2-a, 3-c, 4-d, confirming Option A.
"BudgetβCost, PhotoβImage, TemperatureβSurface, SatelliteβPixels."
6 A researcher needs a simple map layer solely as a visual background behind specific feature points. Raster format is chosen because it acts as excellent ______ maps.
Background reference layers that provide visual context on a map are called backdrop maps. Scanned maps or satellite images work well as backdrops because they show a complete picture without needing complex feature analysis. The raster format is ideal for this because it displays continuous image grids quickly.
When a GIS map requires a background image to provide context for other featuresβsuch as showing an aerial photo behind a layer of city streetsβit is called a backdrop map. Raster datasets excel at this because they display complete images as simple pixel grids without requiring the computer to process individual lines or shapes. This makes Option C correct. Option A is incorrect because topological properties belong to vector networks. Options B and D are wrong because coordinates and vectors represent discrete features rather than background image layers.
- Option A β Topological structures track geographic connectivity and adjacency, which is a feature of vector models.
- Option B β Coordinate systems use precise point locations to build vector shapes, rather than serving as background image layers.
- Option D β Vector data models represent discrete objects with coordinates, which is the opposite of using a raster image grid.
Used: Contextual/Tonal Matching
Application: Look at the phrase "visual background behind specific points." This describes a backdrop layer, which rules out coordinate or vector terms.
Final Logic: The term "backdrop" perfectly describes a background reference image, making option C the correct choice.
Background picture = Backdrop map.
7 Which of the following statements accurately reflects an advantage of the raster model's simple structure?
Spatial variability refers to how much a geographic feature changes from one spot to the next. In a raster model, each pixel can hold a unique value, allowing it to capture frequent changes across an area. This simple grid structure makes raster data highly efficient for mapping continuous surfaces like elevation or temperature.
Because a raster data model uses a continuous grid where every single cell can store a different value, it is highly efficient for modeling surfaces that change constantly across space, such as elevation or temperature. This ability to capture high spatial variability is a key advantage, making Option C correct. Option A is incorrect because network analysis requires connected lines and nodes, which is a vector strength. Option B is wrong because raster files have large file sizes and require significant storage space. Option D is incorrect because raster grids create jagged edges, making them less accurate for mapping sharp boundaries and perimeters.
- Option A β Network analysis relies on connected lines and junctions, which are difficult to model in a raster grid.
- Option B β Raster grids must store a value for every single cell, which leads to large file sizes and high storage needs.
- Option D β Raster cells create a jagged, staircase effect along curves, reducing the accuracy of perimeters and shapes.
Used: Elimination
Application: Eliminate option B because rasters are known for being storage-inefficient. Rule out A and D because network analysis and precise perimeters are strengths of vector models.
Final Logic: This leaves option C, as individual pixel values allow raster grids to efficiently capture continuous environmental changes.
Every pixel has its own value, making it easy to show changes across an area.
8 Despite its simple structure, raster data suffers from storage inefficiency and potential loss of information when using ______ cells.
Large raster cells cover a wide geographic area under a single data value. Any small variations or features within that cell are blended together and lost. Using cells that are too large generalizes the map, leading to a significant loss of information.
When raster datasets use a large cell size, each cell covers a wider area on the ground. If there are multiple different features inside that large area, they are generalized into a single average value for the entire cell, causing a loss of detailed information. This makes Option C correct. While small cells (Option A) require more storage space, they capture more detail and preserve information. Options B and D are vector elements and do not apply to raster cell structures.
- Option A β Small cells increase file sizes and storage needs, but they capture more detail and prevent information loss.
- Option B β Vector refers to an entirely different spatial data model, not a type of raster grid cell.
- Option D β Point is a zero-dimensional vector entity, not a structural cell type in a raster matrix.
Used: Extreme Word Filter / Elimination
Application: Identify that the question highlights a disadvantage ("loss of information"). Eliminate options B and D because they are vector terms.
Final Logic: Large cells group wide areas under a single value, causing a loss of detail and making option C the correct answer.
Large cells blur details together, causing a loss of information.
9 Match the geographical entity to how it is structurally recorded in a vector model:
| List 1 | List 2 |
|---|---|
| 1. Point | a. Single X,Y coordinate pair |
| 2. Line | b. Sequential order of X,Y coordinate pairs |
| 3. Polygon | c. Closed sequence of coordinate pairs forming an area |
| 4. Node | d. Start, end, or intersection point of lines |
A point is represented by a single X,Y coordinate pair. A line is represented by a sequence of connected coordinate pairs. A polygon is formed by a closed sequence of coordinate pairs enclosing an area. A node is a special point marking the start, end, or intersection of lines.
In the vector data model, geographic features are represented using coordinate geometry. A Point feature such as a well, school, or tower is stored as a single X,Y coordinate pair (1-a). A Line feature such as a road, river, or transmission line requires multiple connected coordinates to define its shape, making it a sequential order of X,Y coordinate pairs (2-b). A Polygon feature such as a lake, district, or forest is represented by a closed sequence of coordinate pairs forming an area (3-c). A Node is a special coordinate position used to indicate the start point, endpoint, or intersection of lines (4-d). Thus, the correct matching is: 1-a, 2-b, 3-c, 4-d, which corresponds to Option B.
- Option A incorrectly reverses the definitions of points and lines.
- Option C incorrectly matches lines with polygons and polygons with lines.
- Option D incorrectly matches points with nodes and reverses the meanings of the remaining vector entities.
Used: Geometric Entity Association
Application:
- Match each vector feature with its standard GIS representation:
- Point β Single Coordinate
- Line β Connected Coordinates
- Polygon β Closed Boundary
- Node β Connection Point
Final Logic:
- Applying these vector geometry rules results in 1-a, 2-b, 3-c, 4-d, confirming Option B.
"Point β Line β Polygon β Node" = Location β Path β Area β Connection
10 Consider the following statements about point sequences in the vector model:
I. Polygons are constructed from closed sequences of lines or points.
II. A line is built from a random, un-ordered sequence of points.
Which of the above is/are true?
Vector lines require an ordered sequence of points to connect them in the correct direction and shape. Polygons are area features formed when a sequence of lines loops back to close the shape. Therefore, Statement I is true and Statement II is false.
In the vector model, polygons are constructed from closed sequences of lines or points. The boundary must return to its starting point to create an enclosed area feature. Therefore, Statement I is correct. A line is not built from a random, un-ordered sequence of points. The coordinates must be arranged in a specific sequence so that the computer can correctly represent the feature's shape and direction. Therefore, Statement II is incorrect. Since only Statement I is true, Option A is the correct answer.
- Option B (Only II) is incorrect because Statement II is false; vector lines require an ordered sequence of points.
- Option C (Both I and II) is incorrect because Statement II is false.
- Option D (Neither I nor II) is incorrect because Statement I correctly describes how polygons are formed in the vector model.
Used: Elimination
Application: Evaluate Statement II first. Since a line cannot be created from a random, un-ordered sequence of points, Statement II is false. Then verify that polygons are formed by closed sequences of lines, making Statement I true.
Final Logic: Statement I is correct and Statement II is incorrect, leaving Option A as the correct answer.
Lines must have an order; Polygons must close their loops.
11 Arrange the coordinate dimensions from lowest complexity to highest spatial complexity:
1. X, Y, Z coordinates (3D)
2. X coordinate only (1D distance)
3. X, Y coordinates (2D)
A single coordinate (X) measures a simple distance along a straight line, representing one dimension. Adding a second coordinate (X, Y) allows you to locate items on a flat surface, representing two dimensions. Adding a third coordinate (X, Y, Z) includes height or depth, representing three dimensions. Arranging these from lowest to highest complexity gives the sequence 2, 3, 1.
Spatial complexity increases as you add geometric dimensions. The simplest arrangement uses a single axis (X coordinate) to measure distance along a straight line (Entity 2). The next level of complexity uses two axes (X, Y coordinates) to map positions on a flat plane (Entity 3). The highest spatial complexity uses three axes (X, Y, and Z coordinates) to model real-world objects in three-dimensional space, including elevation (Entity 1). Ordering these from lowest to highest complexity gives 2, 3, 1, which corresponds to Option B.
- Option A β This lists the 3D coordinate system first, which puts the most complex dimension at the start of the sequence.
- Option C β This lists the 2D coordinate system before the 1D system, breaking the order of increasing complexity.
- Option D β This places the 3D system before the 2D system, failing to arrange them in order of increasing spatial complexity.
Used: Option Grouping
Application: Group the choices by their dimensional counts: 1 coordinate (1D), 2 coordinates (2D), and 3 coordinates (3D). Arrange them in increasing numeric order.
Final Logic: Sorting from the lowest dimension to the highest dimension results in the sequence 2, 3, 1, matching Option B.
Count the letters: 1 letter (X) β 2 letters (X,Y) β 3 letters (X,Y,Z).
12 To make this a 4-list Match the Following question:
Match the spatial axis to its measurement reference in a standard vector plane:
| List I | List II |
|---|---|
| 1. X-axis | A. Distance from the bottom of the paper |
| 2. Y-axis | B. Distance from the left side of the paper |
| 3. X-axis | C. Horizontal measurement direction |
| 4. Y-axis | D. Vertical measurement direction |
The X-axis measures horizontal distance from the left side of the page. The Y-axis measures vertical distance from the bottom of the page. The X-axis represents the horizontal direction. The Y-axis represents the vertical direction.
Y-axis β Bottom to Top (Vertical)
13 In vector GIS, to delineate a lake boundary with strict area calculations, the topological structure must support ______ building.
A lake is an area feature that covers a distinct regional surface. To perform calculations like surface area or perimeter length, the area must be stored as an enclosed vector shape. In a vector data model, these enclosed area shapes are called polygons.
To calculate the precise surface area or perimeter of a geographic feature like a lake, the system must treat it as an enclosed, two-dimensional shape. In vector GIS, these enclosed features are constructed as polygons, which connect lines in a closed loop to define a clear boundary. This makes Option B correct. Pixels and raster systems (Options A and D) represent areas using grid blocks, which create jagged edges and are less accurate for strict boundary calculations. Resolution (Option C) is a measurement of data detail rather than a geometric shape type.
- Option A β Pixels are the individual cells of a raster grid and cannot be used to build smooth, coordinate-based vector boundaries.
- Option C β Resolution is a quality metric that defines image clarity, not a geometric feature type used to map area boundaries.
- Option D β Raster structures represent areas using grid cells, which cannot provide the sharp, coordinate-based boundaries needed for precise vector calculations.
Used: Contextual/Tonal Matching
Application: Look at the phrase "vector GIS" and "area calculations." Match this with vector geometry terms, which points directly to "polygon" and rules out raster terms.
Final Logic: Since polygons are the standard vector format used to enclose and calculate areas, option B is the only matching choice.
Lakes and forests have clear boundaries, so they are stored as Polygons.
14 What is the primary reason why lines in a vector model have directional ordering?
Vector lines are built by connecting coordinate points in a specific order from start to finish. This sequence creates an inherent direction along the line feature. This directional property is essential for analyzing networks, such as tracking water flow in rivers or traffic along one-way streets.
Directional ordering means that a vector line is stored with a clear direction from its starting point to its ending point. This property is critical for network analysis and topology, allowing the system to model real-world directional flows like water moving down a river system or traffic traveling along one-way streets. This supports Option C. Option A is incorrect because line color is a visual style setting that has nothing to do with coordinate order. Option B is wrong because elevation requires Z coordinates, not line directions. Option D is incorrect because converting a line to a raster file involves overlaying a grid, which removes the line's directional properties.
- Option A β Line color is a visual style setting used to display the map, which does not depend on the direction of the coordinates.
- Option B β Z elevation is an independent coordinate value that measures height, which is separate from the horizontal direction of a line.
- Option D β Converting a vector line to raster pixels simplifies the shape into grid cells, which actually removes its directional properties.
Used: Elimination
Application: Eliminate option A because color is a visual style choice. Eliminate B because elevation requires a separate axis. Eliminate D because converting to raster removes vector properties.
Final Logic: The ordered sequence of points creates a built-in direction, which is used to model directional paths like river networks or one-way streets.
Directional lines show you which way the river flows.
15 If an engineer requires a GIS format that handles specific descriptive information for individual, highly ______ applications, they should use vector data.
Engineering designs require exact measurements and highly accurate geographic data. The vector data model records coordinates explicitly, allowing it to map boundaries and lines with high precision. This makes vector data the standard choice for projects that demand precise geographic details.
Engineering projectsβsuch as planning utility lines, roads, or property boundariesβdemand exact geometric measurements. The vector data model is ideal for these projects because it uses precise coordinate locations to map sharp lines and exact points without any pixel distortion. This makes Option C the correct choice. Generalization (Option A) simplifies maps and removes detailed data, while imprecision (Option B) refers to inaccurate data. Pixelation (Option D) is a visual blocking effect caused by raster grids, which is something engineers try to avoid.
- Option A β Generalization simplifies shapes and reduces detail, which contradicts the need for high engineering accuracy.
- Option B β Engineering work requires highly accurate data, making imprecision an incorrect choice.
- Option D β Pixelation is a visual distortion caused by low-resolution raster grids, which does not apply to clean vector lines.
Used: Elimination
Application: Eliminate options A, B, and D because generalized, imprecise, and pixelated describe data that lacks detail, which does not fit the needs of engineering work.
Final Logic: Because vector data uses coordinate points to preserve exact geographic details, it is chosen for applications that require high precision.
Engineers need exact lines, so they choose precise vectors.
16 Consider the following statements regarding feature analysis:
I. Raster files are best when individual map features require deep analysis.
II. Vector files are most often used when individual map features require analysis.
The vector model treats geographic elements as separate, independent objects linked to their own data rows. This structure makes it easy to select, isolate, and analyze specific features independently. In contrast, raster grids blend features across a continuous grid of pixels, making separate feature analysis difficult. Therefore, statement I is false, and statement II is true.
The vector data model stores geographic features as separate, independent objects (points, lines, or polygons), and each object is linked directly to its own row in an attribute table. This structure allows you to isolate and analyze specific individual features, such as evaluating a single property boundary or analyzing a specific road link. This makes statement II correct. Conversely, the raster model blends features into a continuous grid of pixels, making it difficult to separate and analyze individual objects. This makes statement I false, confirming Option B as the correct answer.
- Option A β This is incorrect because statement I is false; raster models blend data across a grid, making individual feature analysis difficult.
- Option C β This is incorrect because statement I is false, meaning both statements cannot be true.
- Option D β This is incorrect because statement II is true; it correctly describes the primary analysis advantage of the vector data model.
Used: Substitution
Application: Substitute the core traits of each model: Vector = Discrete individual objects; Raster = Continuous grid sheets.
Final Logic: Since individual feature analysis requires separate, discrete objects, it is a key strength of the vector model, making statement II the only true choice.
Vector layers keep features separate, making individual analysis easy.
17 Which attribute makes the vector data structure highly efficient for conducting road network analysis?
Road networks require a data structure that tracks how lines connect at intersections. This system of managing geographic connectivity and relationships is called topology. Vector formats manage these topological relationships efficiently while maintaining a compact file size.
Analyzing road networks requires tracking how lines connect at intersections and managing travel directions. The vector model handles this efficiently because it uses a compact data structure that stores explicit topological relationships, linking lines (roads) and nodes (intersections) in a connected network. This makes Option B correct. Pixel-based resolution and satellite imagery (Options A and C) are characteristics of raster models, which cannot handle network connections well. Option D is incorrect because vector models are actually known for their strong ability to link features to attribute data.
- Option A β Pixel grids are a feature of raster models, which struggle to model the precise line connections needed for network analysis.
- Option C β Satellite imagery is stored as a raster format and does not include the topological data needed for routing analysis.
- Option D β Vector models are designed to store detailed attribute data, making this statement false.
Used: Elimination
Application: Eliminate options A and C because pixels and satellite imagery are raster concepts. Rule out D because vectors are excellent at storing attribute data.
Final Logic: This leaves option B, as a compact structure combined with topology is what allows vectors to model connected networks.
Networks need connections, and connections require vector topology.
18 Match the data model to its overlay analysis capability:
1. Vector Model
2. Raster Model
Combining multiple vector layers requires calculating complex geometric intersections between various lines and shapes, making overlays difficult. Overlaying raster layers is much simpler because it just requires a cell-by-cell math calculation across matching grids. Therefore, Vector matches with Difficult (1-B), and Raster matches with Easy (2-A).
Overlaying multiple vector maps is computationally difficult because the software must calculate the exact mathematical intersections of various coordinate lines and polygon boundaries to create new shapes. This links Vector to statement B. In contrast, overlaying raster maps is simple and highly efficient because the layers share a matching grid layout, allowing the computer to perform quick math calculations cell-by-cell. This links Raster to statement A. Matching 1-B and 2-A makes Option B the correct answer.
- Option A β This reverses the capabilities, incorrectly claiming that vector overlays are easy and raster overlays are difficult.
- Option C β This states that both models perform overlays easily, ignoring the complex geometric calculations required by vectors.
- Option D β This states that both models struggle with overlays, ignoring the high efficiency of raster grid math calculations.
Used: Substitution
Application: Substitute the matching overlay workflows: Vector = Complex line intersections (Difficult/1-B); Raster = Simple grid math (Easy/2-A).
Final Logic: Aligning these overlay traits leads directly to the 1-B and 2-A combination found in Option B.
Vector overlays require complex math; Raster overlays are just simple grid addition.
19
The provided text describes the workflow for converting vector layers into a raster format. It explicitly states that this conversion is done by overlaying a grid across the data. The dimensions of this grid are determined by a user-defined cell size.
This question is answered directly by the provided text. The passage states: "Vector data are transformed to raster data by overlaying a grid with a user-defined cell size." This matches Option B perfectly. Options A, C, and D are not mentioned in the text as part of this conversion process, and manual digitizing (Option D) is used to create vector data, which is the opposite of converting data to a raster format.
- Option A β The passage does not mention removing Z elevation coordinates anywhere in its description.
- Option C β Converting data to a raster format actually increases file sizes, rather than compressing it into a compact structure.
- Option D β Manual digitizing is a method used to create vector data from paper maps, which contradicts the conversion process described.
Used: Contextual/Tonal Matching
Application: Scan the passage for the phrase "transformed to raster data" and read the exact mechanism described immediately after it.
Final Logic: The text explicitly states that vector data is transformed to raster by overlaying a grid with a user-defined cell size.
The text clearly states: "by overlaying a grid with a user-defined cell size."
20
The passage explains that raster data can sometimes be converted into a vector format. It states that this is done to achieve data reduction. This conversion solves storage inefficiency because raster files require much more storage space than vector files.
The passage states that raster data can be converted into vector format "especially if one wants to achieve data reduction because the data storage needed for raster data are much larger than for vector data." This means that converting data back to a vector format helps reduce file sizes and solves the storage inefficiencies of the raster format, supporting Option C. Options A, B, and D are not supported by the text, and vector models do not use pixels (Option A) or remove boundaries (Option D).
- Option A β Vector models do not use pixels, so converting data to a vector format cannot increase pixel counts.
- Option B β Satellite images are naturally stored in a raster format, so converting your data to vector would not improve compatibility.
- Option D β Vector models are designed to build and maintain clear topological boundaries, not remove them.
Used: Contextual/Tonal Matching
Application: Locate where the passage discusses converting raster data into a vector format, and identify the reason given at the end of the paragraph.
Final Logic: The text directly links this conversion to achieving data reduction because raster files require much more storage space than vector files.
Vector data needs less storage space, so converting to vector saves disk space.
