Lecture 4-6 Flashcards

1
Q

What is a spatial weight file?

A

Provides neighbourhood information of your map

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2
Q

Spatial Weight/Contiguity File

A

For contiguity based method that uses 1 or 0 to denote whether areas are neighbours or not, the contiguity information is sometimes stored in a file, which is referred to as a spatial weight file

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3
Q

Spatial Weights Matrix

A

the neighbouring connections are on the map and how important these are relative to one another

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4
Q

Defining Neighbours: Adjacency-based

A

Rook-based Contiguity - only shapes that touch common boundary line
Queen-based Contiguity-
share a common boundary point

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5
Q

Local Moran’s I

A

Shows the locations of spatial clusters aka. the clustering of the indicator at specific locations

The output is a map instead of a value.

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6
Q

Social Determinants of Health

A

the complex, integrated, and overlapping social structures and economic systems that are responsible for most health inequities

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7
Q

Proximal factors of Health

A

They have a direct impact on a health outcome

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8
Q

Distal factors of Health

A

Have an affect health through intermediary factors (non-direct)

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9
Q

Relationship of Distal and Proximal factors

A

the built environment in which individual lives and works-a distal factor-may have an impact on the amount of physical activity-a proximal factor-and thus on bodyweight

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10
Q

Hypothesis testing

A

Also known as significance testing. Test the extent to which a hypothesis might be significant.

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11
Q

What are the two things we need to do before Hypothesis Testing?

A
  1. Specify the meanings of all the variables involved in the hypothesis.
  2. Specify how we’ll measure the variables –> operationalization (specifying the exact operations involved in measuring a variable).
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12
Q

How is hypothesis testing done (three steps)?

A
  1. Define your variables: specify the meanings of all the variables involved.
  2. Specify how you’ll measure the variables.
  3. Analyze the data. (eg. using regression analysis)
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13
Q

When should we apply spatial regression and not classic regression?

A

Independence Assumption: use a map display OR Moran’s I to test for spatial patterns of the residuals

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14
Q

Spatial Error Regression differs from Classic Regression because….

A
  1. it has a map (in the form of a spatial weights file or matrix) that is added and required for the analysis needed in the data input - Allows for data dependence
  2. Also has a autoregressive coefficient
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15
Q

Relational statements Deterministic vs. Probabilistic

A

Deterministic:
- Two variables go together all of the time.
- If the variables are not related in this way, then the statement must be modified.
E.g., as the economy shrinks by 1 per cent, the arson rate increases by 5 per cent.

Probabilistic:
- Two variables go together with some degree of regularity.
- Not always related in that way.
E.g., people who smoke are more likely to get lung cancer.

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16
Q

What is an index?

A

Index is a composite measure

Composite measure is created by combining two or more separate indicators into a single (summary) measure.

Many phenomena are too complex to be captured properly by one variable

17
Q

Multiple Spatial Regression

A

One dependant variable with two or more covariates (independent variables)

18
Q

Correlation

A

The Event that process A is associated with event (process B)

19
Q

Causation

A

The Event that process A leads to or causes event (process B)

20
Q

Does Correlation mean Causality?

A

Correlations does not always mean Causation

21
Q

What are two types of Causation?

A

Necessary (Y cannot happen without X) and sufficient (Y always happens when X happens)

22
Q

Give two examples of Necessary Causation

A
  1. Being female is a necessary condition of becoming pregnant.
  2. Having a grocery store nearby is a necessary condition of walking to buy groceries.
23
Q

Give two examples of Sufficient Causation

A
  1. Being female is not a sufficient cause of becoming pregnant. Otherwise, all women would get pregnant.
  2. Having a grocery store nearby is not a sufficient cause of walking to buy groceries.