Final Flashcards

1
Q

Canadian Census

A

Conducted to gain an idea of the population
- done every 5 years
- random

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

Primary sources for Census data

A

Socioeconomic
- familes
- income
- status
-education
- minorities/ immigrants

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

Geographic units in census data

A

1: Dissemination block: bound by roads or other boundaries (the smallest)
2: Dissemination area: one or more dissemination blocks with avrg. population of 400-700
3: Census tract: Larger areas with populations between 2500-8000 or centres with 50 000+ peoples

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

Statistics

A

Collection, classification, presentation and analysis of numerical data to draw valid conclusions and decisions

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

Sats in Geography

A

Describe and summarize spatial data, asses general patterns, and make inferences about population

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

Populations can be:

A

Finite: Bounds of the population are known
Infinite: Bounds of the population are unknown

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

Varibles

A

Properties or characteristics of each given phenomenon/object to be measured
- can be Continous (fall between 2 values) and discrete (determined by counting)

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

Descriptive statistics

A

Provide easy-to-understand characteristics for particular data
- measure central tendency (represent the centre/ typical frequency value) (mean, median, mode)

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

Measure of dispersion and varibility

A

Provide an indication of the spread of variability of data
- range: difference between high and low
- deviation: difference between each value and mean

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

Hypothesis testing

A

Infromed explanation or prediction about something
- informed
- has to be testable (to see if true/false)
- has to be falsifiable (possibility that it can be proven wrong)

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

Steps to hypothesis testing

A

1: State the null and alternate hypothesis
2: Select the appropriate test
3: select level of significance
4: Delineate regions of rejection and non-rejection of null
5: Calculate test
6: Make decision regarding null and alternate hypothesis

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

types of stat errors

A

Type I: Decision is made to reject the hypothesis and false when it is true
Type II: Decision is made not to reject a null hypothesis as false when it is false

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

Correlations

A

the relationship between 2 or more variables
- scatterplot typically used to express
- correlation doesn’t equal causation

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

Scatterplot direction

A

Positive:
-Increase values in one variable corresponds to increasing values in others
- Decrease values in one variable corresponds to decreasing values in other

Negative/Inverse:
-Increasing value is one variable corresponding with decreasing values of another
- Decreasing values in one variable corresponds to increasing values in another

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

Covariation

A

The degree to which covary/vary together
- if covary similarly = data has large covaration and strong correlation
- if show little consistency = weak correlation

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

Geocoding

A

The process of assigning spatial locations to descriptive data
- most common - address matching

17
Q

Variations of geocoding

A

1) intersection matching - intersections match street names
2) Postal code matching - postal code to locations
3) Reverse geocoding - converting lat and long to locations
4) photo Geocoding - pictures to location info

18
Q

Applications for geocoding

A

1) location-based services - google
2) business - matching to customers
3) Emergency services - phone GPS
4) location accuracy
5) public health - mapping of neighbourhoods

19
Q

Coordinate systems

A

Allow us to know position on earth surface

20
Q

4 ‘levels’ of the coordinate system

A

1) Ellipsoid/ Spheroid: earths surface
2) Geoid: Gravity
3) Mean sea level
4) Terrain: elevation

21
Q

Two type of coordinate systems

A

1) Geographic - lat and long lines
2) Projected coordinate systems falt, 2D description of the earth

22
Q

Coordinate display

A

Degree - Min - Second
- 1 degree = 60 min
- 1 min = 60 sec

Lat= -180 to 180 (W to E)
long = -90 to 90 (S to N)

23
Q

Datum

A

Reference system which allows the location of lat, long and height to be identified onf the surface

24
Q

3 types of datum projections

A

1) Albers (conic)
2) Transverse Mercator- straight merdians and paralleles that intersect at right angles
3) Universal Transverse Mercator (UTM): 60 pieces, 60 meridians

25
Q

types of sampling

A

1) Random: Each memeber of the population has equal chance of being selected - may lead to bias
2) Systematic sampling: samples are chosen on regular intervals - may lead to under representation
3) Stratified: used when their are sub-groups of interest

26
Q

Scales of measurement

A

1) Nomial: Catagorical data (text)
- ex: land use types
2) Ordinal: ranked (date, time)
- ex: main, secondary, and minor roads)
3) Interval: between 2 units
- ex: Celsius and Fahrenheit
4) ratio: interval data with absolute zero value

27
Q

Accuracy (two types)

A

1) Positional accuracy: closeness of locational information to true position (usually coordinates)
2) Thematic/ attribute accuracy: the closeness of attribute values to their true values

28
Q

Lineage

A

Record of the data sources and of the operations which created data set

29
Q

Data Quality key issues

A

1) Accuracy: closeness of measurement
- ex: absence of error
2) Precision: number of decimal places in measurement
3) uncertainty: imperfect knowledge of the world
- lack surness