Final Exam Flashcards

1
Q

What is the difference between Spatial and Attribute data?

A

The main difference between attribute data and spatial data is that the attribute data describes the characteristics of a geographical feature while spatial data describes the absolute and relative location of geographic features.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Explain GIS. What makes it unique?

A

(GIS) is a system that creates, manages, analyzes, and maps all types of data. GIS connects data to a map, integrating location data (where things are) with all types of descriptive information (what things are like there). This relational database is unique and crucial to the making GIS what it is.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What is a Vector data model? What are the main types of data?

A

A representation of the world using points, lines, and polygons. Vector models are useful for storing data that has discrete boundaries, such as country borders, land parcels, and streets.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What is Raster Resolution?

A

The spatial resolution of a raster refers to the size of the cells in a raster dataset and the ratio of screen pixels to image pixels at the current map scale.
The size of a cell (generally measured in meters (30m resolution = 30x30 metre cell size)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What are the 3 different Scale Calculations? (hint: triangle)

A

Scale = Ground Distance / Map Distance

Ground Distance = Map Distance * Scale

Map Distance = Ground Distance / Scale

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

How do you calculate Coordinates? (Degree Min Sec -> Decimal Degrees)

A

e.g. (49º 28’ 51”)
51”/60 =0.85’
28’+.85 = 28.85
28.85/60 = 0.4808

Answer = 49.4808º

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

How do you calculate Coordinates? (Decimal Degrees -> Degree Min Sec)

A

e.g. 11.3248º
0.3248 x 60 = 19.488
.488 x 60 = 29.208

Answer = 11º 19’ 29” E

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What is the difference between large scale and small scale maps? (which is larger?)

A

Large scale maps show a smaller amount of area with a greater amount of detail. The geographic extent shown on a large scale map is small.


Small scale maps show a larger geographic area with few details on them. Small scale maps are used to show the extent of an entire country, region, or continent. (small scale is Larger)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What is a Geoid

A

The geoid is the shape that the ocean surface would take under the influence of the gravity of Earth, including gravitational attraction and Earth’s rotation, if other influences such as winds and tides were absent.
Geoid is an interpolated surface
based on gravity.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What is an Ellipsoid?

A

A mathematical model that smooths the irregular shape of the geoid.
The squished shape is due to the earth’s gravitation and rotation.

▷ The most accurate global ellipsoid is the World Geodetic System (WGS 84)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What is a Datum? why are they useful?

A

Use information about the earth from ellipsoids and geoids.
• Provides a starting point (origin) for mapping
• Use a mathematical model to fit the coordinate system (Lat / Long) to the surface of the earth.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

What is a cylindrical Projection?

A

Cylindrical projections is like wrapping a cylinder around the earth.
Longitude = equal spacing; straight and parallel
Latitude = straight, but not always equally spaced.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What is a conic projection?

A

Conic projection is like wrapping a cone of paper around a portion of the earth.
Longitude = straight line diverging Latitude = circular, around the poles

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What is a Planar Projection?

A

Planar projections like a bicycle wheel Longitude = straight equally spaces; radiate from centre
Latitude = concentric circles, equally spaced.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What is a developable surface? (what are the three types?)

A

Developable surface [map projections] is a geometric shape such as a cone, cylinder, or plane that can be flattened without being distorted. Many map projections are classified in terms of these shapes.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What is the CASE of the Projection?

A

The areas that touches the globe and has the least amount of distortion in the projection. (different for every type of projection)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

What aspects can projections have?

A

The aspect describes how the developable surface is placed relative to the globe: it may be normal (such that the surface’s axis of symmetry coincides with the Earth’s axis), transverse (at right angles to the Earth’s axis) or oblique (any angle in between). “The aspect of the map projection refers to the orientation of the developable surface relative to the reference globe.”

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

What are the four types of projections? What do they preserve?

A

▷ Angles (Conformal)
▷ Area (Equivalent)
▷ Distance (Equidistant)
▷ Direction (Azimuthal)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

What is an Attribute Join?

A

Attribute joins connect data in tables

using a common field. Joins can be permanent or temporary.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

What is a Spatial Join?

A

Used when you want to create a join based on the location of features in space. generally done with overlapping layers.
Tables do not need to contain a common field.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

What are spatial queries?

A

Spatial queries are queries in a spatial database that can be answered on the basis of geometric information only, i.e., the spatial position and extent of the objects involved.

They are based on topological relationships
▷ The spatial features themselves (not attributes) are used as part of your query

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
22
Q

What is Topology with regards to GIS? Why is it important?

A

Topology is what sets GIS it apart from graphic and CAD software. (direction, what’s within/outside of an area) Topology expresses the spatial relationships between connecting or adjacent vector features (points, polylines and polygons) in a GIS.

Topology is also associated with Vector data
▷ A topological data model explicitly stores information on spatial relationships or connectivity.
▷ Topology used to make sure that all polygons close and that lines in networks are connected

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
23
Q

What are Attribute Queries?

A

Attribute queries – selects based on conditions (for example, find single people with high income)
Essentially it selects a subset of the data.

e.g.
▷ Select crimes that involve thefts
crime type = theft
▷ Select crimes that happened after lunchtime time > 12

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
24
Q

What operators are used with Attribute queries?

A

One attribute:
=, >=, <=, >, <

Multiple attributes need a connector:
▷ AND = both expressions must be true
▷ OR = either expression must be true
▷ NOT = 1st expression is true, 2nd is not true

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
25
Q

What is a Boolean Operator?

A

In computer science, a Boolean is a logical data type that can have only the values true or false. Something either IS or IS NOT a
(1 = yes / 0 = no)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
26
Q

What is Spatial Proximity?

A

A type of analysis in which geographic features (points, lines, polygons, or raster cells) are selected
based on their distance from other features or cells.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
27
Q

What is a Raster Calculator? How can it be used?

A

The Raster Calculator lets you perform mathematical calculations using operators and functions, set up selection queries, or type in Map Algebra syntax. Inputs can be raster datasets or raster layers, coverages, shapefiles, tables, constants, and numbers.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
28
Q

What are Buffers? What are the different types?

A

A zone around a feature measured in units of distance or time. A buffer is useful for proximity analysis.

Buffers can exist around Points/Lines/Polygons and can surround the feature, be on one side or the other. They can be rounded and can be dissolved or undissolved.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
29
Q

How can Buffers be used?

A

A buffer analysis can be performed. This is a determination zone around a geographic feature containing locations that are within a specified distance of that feature, the buffer zone, and how they interact with that buffer zone.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
30
Q

What is the famous first example of using Proximity analysis to solve a problem?

A

Dr. John Snow, England (1850’s)
▷ Using a map to demonstrate
the spatial relationship between cholera cases and a particular water pump.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
31
Q

What is an Intersect?

A

Geoprocessing tool that finds overlaps between layers
▷ Keeps attributes from all input layers
▷ Can also be used to check for overlaps within the same layer

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
32
Q

What is the output of an intersect? when would you use one?

A

Intersect keeps only those features that overlap
▷ Output type is based upon input layers
▷ If the inputs have different geometry types (that is, line on polygon, point on line, etc), the Output Feature Class geometry type will default to be the same as the Input Feature geometry type with the lowest dimension geometry.

e.g. Where does caribou habitat
intersect with heavy human use?

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
33
Q

What is a Union?

A

Total area of both objects. The Union tool creates a new coverage by overlaying two polygon coverages. The Output Coverage contains the combined polygons and attributes of both coverages. Only polygon coverages can be combined using Union.

e.g. What area of parcels are within the
floodplain zone?

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
34
Q

What is an Erase?

A

Geoprocessing tool that removes any areas of overlap between input layers.

Only locations in the input but not in the erase layer remain.

e.g. buffer around drinking fountains in neighbourhoods (erase to find areas not with a certain range)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
35
Q

What are Sliver Polygons? How can you get rid of them?

A

Long, skinny, irregular polygons, created when you perform an overlay (two different coastlines for instance), these polygons will throw off your results (adding to total area). You can get rid of them by merging them with adjacent polygons, also performing an erase by polygon size.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
36
Q

Truth & Reconciliation Lecture Points

A

Maps played a role in colonization, they can control the land, divide it, controlled the naming of places. Many of these maps still control how we see the world. 
“Decolonizing the map requires a recentering of indigenous geographical knowledge”


What can we do? 
Reconsider how we classify our maps / include territorial acknowledgement / Pay attention to names / Step Back, indigenous-led mapping. 


How well did you know this?
1
Not at all
2
3
4
5
Perfectly
37
Q

What is a discrete raster?

A
Limited number of possible values
▷ Pixels with same value = same class
▷ Larger cell value does not mean 
more valuable
▷ Similar to polygons
▷ e.g. soil class,  vegetation class, .
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
38
Q

What is a Continuous Raster?

A

Unlimited number of possible cell values
▷ Larger cell value = higher value
▷ Same value does not mean it is in the same class – there are no classes
▷ Usually called a ‘surface‘
▷ e.g. elevation, precipitation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
39
Q

Why would you compress a Raster?

A

The primary benefit of compressing your data is to reduce the size of the file to help save disk space. This process groups like values together (counts numbers of cells and groups them)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
40
Q

What is a Suitability Analysis? What does it allow you to do?

A

Suitability Analysis Looks at multiple layers in order to solve a problem. (using a query, you rank locations and then come up with a best answer)

This allows you to qualify, compare, and rank candidate sites based on how closely they adhere to criteria that you select and define.

41
Q

What is Euclidian Distance?

A

The Euclidean distance describes each cell’s relationship to a source or a set of sources based on the straight-line distance.

42
Q

What are the 4 levels of measurement? Provide Examples.

A

Nominal - Attributes are only names, forest vs rock 


Ordinal - Attributes can be ordered, university rankings


Interval - Distance is meaningful, Temperature


Ratio - An Absolute zero exists (and is important to the measurement)

43
Q

What is an “MCE”?

A

A “Multi Criteria Analysis” is a decision-making method that considers different factors.

Suitability Analysis is an example of an MCE.

44
Q

What is Raster Reclassification?

A

Replace the input cell values with new output cell values in order to:
▷ group values to simplify data (fewer categories), or
▷ reclassify values to a common range of values (aka scale)

45
Q

Why do we perform Raster Reclassification?

A

When we are doing a suitability analysis we need a common range of values for all input datasets.

46
Q

What are some examples of Suitability Analysis?

A

Best areas neighbourhoods for dog owners (Overlay of distance to Dog drinking fountains with percentage of dog owners gives us the best location to live)

47
Q

What is a Story Map?

A

(part map/part text) Generally geared towards non technical users, “they tell the story of a place, event, issue, trend, or patterning a geographic context”.

48
Q

What are the Key elements of a Story Map?

A
▷ Text
▷ ArcGIS Online content
▷ Custom (simple) maps
▷ Videos
▷ Photos
▷ Spreadsheets
▷ Interactive use:
○ Queries 
○ Popups - enables customized view 
and incorporates media
49
Q

What is KML used for?

A

Basically another way to produce story maps.

KML (Keyhole Market Language) is an Image overlay (open source code) - we can do this with any image - save text as a .kml file to display in google earth.

50
Q

What is the Importance of Projection in Mapping?

A

Projection should be chosen based on:
○ Where you are
○ What you are showing (trying to preserve)

(using appropriate projections) because they preserve a specific distortion (differences in areas you need to use a projection that preserves scale)

51
Q

Why is Scale important? (what is a crucial rule for scale?)

A

Scale must be included to give the map distance meaning. The map should not use a scale larger than the scale at which your data were collected.

52
Q

What is important to check for when adding legends to maps?

A

It defines all the elements of the map and that they actually match the map!!

53
Q

Some elements which are important to consider with Map annotation?

A

Good placement:

1) Easily visually associated with feature
2) Does not overlap other contents
3) Allows extent of feature to be seen
4) Reflects hierarchy of features

54
Q

Some elements which are important to consider with Symbols on Maps?

A

Using standard symbols help readability.

▷ Example: railway lines are instantly identifiable

55
Q

Some elements which are important to consider with Colour on a map?

A

Can imply value:
○ Nominal data should use very different hues
○ Colour ramp for ranked data 24

56
Q

What are Chorochromatic Maps useful for?

A

Used for nominal data: classes rather than values.
▷ Example: Geology of Canada

Chorochromatic maps are typically used to represent discrete fields, also known as categorical coverages. Chorochromatic maps differ from choropleth maps in that chorochromatic maps are mapped according to data-driven boundaries instead of trying to make the data fit within existing, sometimes arbitrary units such as political boundaries.

57
Q

What are Choropleth Maps? What are they used for?

A

Choropleth
▷ Colour used to represent statistics
▷ Data must be normalized (not raw numbers)

Choropleth - is a type of thematic map in which a set of pre-defined areas is coloured or patterned in proportion to a statistical variable that represents an aggregate summary of a geographic characteristic within each area, such as population density or per-capita income. Choropleth maps provide an easy way to visualize how a variable varies across a geographic area or show the level of variability within a region.

58
Q

What are Dot Density Maps?

A

Map is often used where a point represents a particular quantity.
▷ Good for showing density
▷ Points are randomly generated

59
Q

What are Graduated Symbol Maps?

A

▷ Points used to show differences.
▷ Good for raw values
▷ Can be visually confusing (overlaps)
and harder to read (difficult to gauge sizes)

60
Q

What is a Heat map?

A

Heat Map
▷ Raster representation of the density of point features.
▷ Best with continuous data.
▷ Good practice to display source data points with final product.
▷ Visually stimulating.

61
Q

What is a Flowline?

A

Lines which show movement between areas.

62
Q

What is a cartogram?

A

Area rescaled proportional to a variable. (skewed map where country visual size matches an attribute like population)
▷ Many different types
▷ Audience needs to be map-literate

63
Q

Why do we look at the histogram when performing Data Classification?

A

We want our classes to do two things:

  1. Maximize differences between classes
  2. Minimize differences within classes

Looking at the histogram will give you an idea of how best to achieve this.

64
Q

When Classifying data what is the ideal number of classes you should aim for?

A

4-6 classes.

65
Q

Data Classification - Natural Breaks

A

Classes are based on natural groupings inherent in the data.

Software identifies break points that group similar values: Minimize within group variance / Maximize between group variance.


Method is commonly used as it is good for data that are not evenly distributed on the histogram.


it can be difficult to compare maps as the classes are custom to the data set

66
Q

Data Classification - Equal Intervals

A

The range of attribute values is classified into equal-sized subranges regardless of how the data are distributed.
We specify the number of classes while software determines where breaks should be. (e.g. 0-10 / 10-20 / 20-30)

67
Q

Data Classification - Quantiles

A

Each class contains an equal number of features. Good for emphasizing relative position - (i.e. top 20%).

Because features are grouped by the number in each class, the resulting map can be misleading: similar features can be places in adjacent classes. Features with widely different values can be put in the same class

class breaks can be questionable.

68
Q

Data Classification - Standard Deviation

A

This classification scheme shows you how much a features attribute value varies from the mean.
The GIS software calculates the mean and the standard deviation form the mean. Class breaks are then created using these values.

Best for normal distribution (Bell Curve)

69
Q

Data Classification - Manual Classes

A

There is no reason why you can’t go in and “tweak” the classes.

▷ Sometimes you might need to come up with your own, or manually enter one that is not available in your software.

e.g. Geometric Interval

70
Q

What characteristics might denote a poorly made map?

A

Choropleth map using raw data, using too many classes (makes classes insignificant), Too many colours (hard to differentiate classes)
.

71
Q

What is Terrain?

A

Also known as relief, this is the third dimension (elevation) of land surface. The “lie of the land”.
Expressed as elevation, slope, and aspect.
It influences climate, weather, and water flow.
Underwater terrain = bathymetry

72
Q

What is Spatial Interpolation?

A

Spatial interpolation is the procedure of estimating the values of properties at upsamples sites within the area covered by existing observations.

Data collection and analysis is expensive and time consuming. Thus samples are spaced apart. Unknown data much be estimated from sampled data.

73
Q

What is a DEM?

A

Digital Elevation Models - (DEM) is a raster grid with elevation values.

74
Q

What is a DTM?

A

Digital terrain model (Terrain not included) - (DTM) Is a bare-earth elevation model.

75
Q

What is a DSM?

A

Digital surface model (Terrain included) (DSM) Represents the earths surface and all objects on it, this includes environmental and artificial features (e.g. vegetation, buildings).

76
Q

What is a Raster DEM?

A

How accurately terrain can be modelled using DEM depends on the complexity of the terrain and the resolution of the raster. Choosing an appropriate resolution is important.

77
Q

What are Vector TINs?

A

Triangulated Irregular Network (TIN) joins the elevation observation together with straight lines to create a mosaic of irregular triangles. Works best with terrain containing sharp features. 
The triangles can represent terrain features: 
Vertices: peaks, depressions, passes
Edges: ridges, valleys

78
Q

What is Slope?

A

Measure of the steepness for your terrain.

79
Q

What is Aspect?

A

The direction that your slope is facing.

80
Q

What is “Ruggedness”?

A

The measure of the amount of changes in a landscape. (Measuring difference between cells). Terrain ruggedness Index (TRI) mean difference between a central pixel and its surrounding cells.

81
Q

What is Hillshade? Why is it Useful?

A

An effective way to project terrain (The angle of the sun on topography) used to mimic time of day/year.

Helps to highlight terrain features (mountains, valleys, etc…)

82
Q

What is Vertical Exaggeration? Why is it Used?

A

Enhancing the size of terrain features on a map to make them more obvious. Always going to have this (especially with physical representations of terrain) or you would never register differences in height on maps/globe.

83
Q

What does Curvature refer to?

A

Measuring shape of the slope (concave/convex)
Often used for hydrological modelling, especially with runoff and erosion.


Cell value: Upwardly concave + / Upwardly convex - / 0 indicates flat surface.

84
Q

What is image draping? what does it do for us?

A

Essentially you just drape your 3D model with an image.
Example: Combine a topographic map and 3D DEM. This provides a visually appealing relief map of the landscape.

You can also generate several different terrain layers and use layer transparency, colour, and other design elements to create imaginative depictions of Earth’s
terrain in 2D or 3D.

85
Q

How do you Create an Urban Model? What do you need to make them?

A

Requires:
▷ Vector building footprints
▷ Height information: Digital Surface Model & Digital Terrain Model (bare earth)

Subtract the DTM from the DSM to get building heights.

Option to add texture/details

86
Q

How do you model shadows in Urban environments?

A

Similar to hill shading, you can move the source of illumination to simulate different times of day.

e.g. what shadows will be created by a proposed development.

87
Q

What is a View Dome?

A

A 360 degree view from a source point.

Red = not visible
Green = visible
88
Q

What is the History of GPS?

A

Developed in the 1970’s by the US military, Owned and operated by the US.

Full system of 24 satellites / “selective availability” downgraded signal in 1990s
.
Since then there have been continued improvements, currently millions of users (if not billions).

89
Q

What other satellite navigation systems exist?

A
Global: 

GPS, USA 1978

GLONASS, Russian 1982

BeiDou, China 2000 (operational 2018)

Galileo, EU 2011

Local:

NavIC, India 2018 (standalone)

QZSS, Japan 2018 (enhancement for GPS to improve signal)

90
Q

What are the three segments of GPS?

A

Satellite navigation systems are made up of 3 segments 

“space” satellite;
“user” w/ receiver;
“control” fixed stations around the world

91
Q

How do we measure our location with GPS?

A

Distances are measured according to the time needed for radio signals transmitted by satellites (SPACE) to reach a receiver (USER).

▷ Distance = travel time x
speed of light

92
Q

What is Trilateration?

A

(We need 4 satellites to perform this) The location is measured at the intersection point of the 4 spheres.

93
Q

What types of Errors can GPS encounter?

A

Errors can be (human made, selective availability to degrade signals, atmospheric interruption)


Multi-path errors 
the signal may bounce off various obstructions before it reaches further receivers.

Source of Error - GDOP 
This is the result of satellite geometry, or the position of the satellites in relation to each other and the receivers.
tirlateration.

94
Q

Accuracy Issues Facing GPS?

A

Urban canyons are areas of interference due to surrounding structures, e.g. buildings, trees, land features which effect the satellites abilities to perform tirlateration.

95
Q

What is Differential GPS?

A

Differential GPS uses fixed stations to increase the accuracy of GPS. (Differential GPS) is essentially a system to provide positional corrections to GPS signals. DGPS uses a fixed, known position to adjust real time GPS signals to eliminate pseudorange errors.


96
Q

How does a GPS unit compare to a Cellphone?

A

The difference in accuracy depends on the set up. A cell phone with external GPS booster or tying into differential GPS will be able to have comparable results to a good GPS unit.

97
Q

What is the importance of Polling Frequency?

A

(Represents the timing of gps point drops) Important to note that standing still will continue to drop points (causing random patterns within your data).

98
Q

What is the importance of Pre Planning for GPS survey?

A

Ensures limited issues in the field and a guide for the data collection.

Pre planning, creating empty data sets, pre planning for issues, dry running the testing units (ensuring they are in working order) ensure its functionality and user experience.

99
Q

Importance of Post Processing?

A

(needed to fix attributes, spatial features)
Post Processing is necessary because your data will need to be “cleaned up” when you are back from the field: Fix features, remove errors, add attribution.