FINAL EXAM Flashcards

(85 cards)

1
Q

Three types of GIS models

A
  • Cartographic
  • Spatio-temporal
  • Network
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2
Q

What is a cartographic model

A

Model where input layers change to get a result

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3
Q

Examples of cartographic models

A

Habitat suitability, site selection, corridors.

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4
Q

What is a spatio-temporal model

A

Model that uses time or real-time data.

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5
Q

Examples of spatio-temporal models

A

Disease spread, wildfire movement

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6
Q

What is a network model

A

Model showing movement along connected features.

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7
Q

Elements of a network

A

Links, intersections, stops, centers, barriers.

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8
Q

“Garbage in, garbage out” means

A

Bad input = bad output.

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9
Q

Positional measurement errors are

A

Errors during digitizing or locating features.

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10
Q

Physiological error

A

Hand twitch / accidental digitizing

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11
Q

Psychological error

A

Can’t see the line clearly → digitizing wrong

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12
Q

Attribute collection errors

A

Misclassification or miscounts (land use, social data)

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13
Q

Processing errors

A

Rasterizing vectors, low precision math, faulty logic.

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14
Q

Currency

A

How up-to-date the data is

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15
Q

Completeness

A

If anything is missing

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16
Q

Consistency

A

Data follows same rules everywhere.

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17
Q

Accuracy

A

How close data is to the true value

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18
Q

Precision

A

How detailed or repeatable data is

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19
Q

Can precision be high but accuracy low?

A

Yes — consistent but still wrong.

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20
Q

Positional accuracy

A

Correctness of location

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21
Q

How to test positional accuracy

A

Use larger-scale map, GPS, or survey data

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22
Q

Attribute accuracy

A

Correctness of labels/values

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23
Q

Logical consistency

A

Lines connect, polygons close — no rule violations

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24
Q

Accuracy completeness

A

Nothing missing in features or attributes

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25
What is lineage
Data history: when collected, by who, processing steps
26
Why is lineage useful?
Shows trustworthiness and how data was made
27
What is metadata
“Data about data” — describes quality and details.
28
Who sets U.S. metadata standards?
FGDC
29
Main uses of metadata
Keep records, share data, help interpret data.
30
Identification info
Basic dataset description (title, purpose)
31
Data quality info
Accuracy, completeness, lineage.
32
Spatial data organization
Type: points, lines, polygons, raster.
33
Spatial reference info
Coordinate system, datum, projection.
34
Entity & attribute info
What features and attributes mean.
35
Distribution info
How to access the data.
36
How have GIS costs changed?
They decreased.
37
What increased in GIS?
Functionality (more tools/features).
38
Three main uses of GIS?
Manage data, analyze data, communicate info.
39
How is GIS shifting?
From data → analysis.
40
GIS + Internet allows?
Sharing data and tools online (GIServices).
41
GIS drivers
Better hardware, better software, more data.
42
GIS constraints
Cost of data, lack of staff, network limits.
43
Remote sensing improvements
Higher resolution images, better sensors, drones.
44
What is wearable GIS?
GIS in mobile/wearable devices.
45
What is GIS?
A system that links location + information to answer spatial questions.
46
What makes GIS unique?
Its ability to analyze spatial patterns, relationships, and layers.
47
Geographic data vs. Attribute data
Geographic = where Attribute = what
48
Questions GIS answers
Location, condition, trends, patterns, modeling (“what if?”)
49
Spatial vs Aspatial data
Spatial = location Aspatial = attributes (NOIR levels)
50
Nominal
Categories, no order.
51
Ordinal
Ranked order.
52
Interval
Equal intervals; no true zero.
53
Ratio
Has a true zero; full statistics allowed.
54
Vector model
Represents discrete features: points, lines, polygons.
55
Raster model
Represents continuous data using grid cells.
56
Vector vs Raster
Vector = “Where is everything?” Raster = “What is everywhere?”
57
Raster resolution
Smaller cells = higher detail.
58
Required map elements
Map body, title, legend, scale bar.
59
Small scale vs Large scale
Small scale = large area, little detail Large scale = small area, more detail
60
Map projections
- Conformal = shape - Equivalent = area - Equidistant = distance - Azimuthal = direction
61
Choropleth map
Shows spatially intensive data (rates, percentages).
62
Graduated symbol map
Shows spatially extensive data (counts, totals).
63
Classification methods
Quantile, equal interval, natural breaks, standard deviation.
64
GPS components
Space (satellites), control (ground stations), user (receivers).
65
Minimum satellites needed
Three (for 2D position; four for 3D including elevation).
66
Distance measurement in GPS
Time delay × speed of light.
67
Levels of accuracy
Standalone → Differential → Phase differential (least accurate → most accurate)
68
What is remote sensing?
Collecting data using sensors in different EMR wavelengths.
69
Remote sensing limitation
Only three spectral bands can display in RGB at once.
70
What does a GIS data model link?
Spatial + attribute data.
71
Key table relationships
1:1, 1:many, many:many.
72
What is a join?
Connecting tables based on a common attribute.
73
Spatial query
Select features based on location (ex: within 5 km).
74
Proximity
Which features are near others.
75
Adjacency
Features sharing a border.
76
Containment
One feature inside another.
77
Buffer
Creates a zone around a feature.
78
Dissolve
Removes internal boundaries based on a shared attribute.
79
Overlay types
Union = keeps all Intersect = keeps overlap only Clip = cookie cutter
80
Reclass
Changing cell values to new categories.
81
Map algebra
Math operations on raster layers (add, subtract, min/max).
82
DEM
Raster surface of elevation.
83
Slope & Aspect
Slope = steepness Aspect = direction of slope
84
Viewshed analysis
Determines what is visible from a point.
85