Pitfalls of spatial data Flashcards

1
Q

Spatial autocorrelation diagnostic measures

A

joins count statistics
moran’s I
geary’s C
variogram cloud

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2
Q

Spatial autocorrelation structure

A

spatial variation across a study area

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3
Q

First order spatial variation

A

occurs when observations across a study region vary from space due to changes in the underlying properties of the local environment

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4
Q

Second order spatial autocorrelation

A

due to local interaction effects between observations

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5
Q

MAUP

A

the same basic data yield different results when aggregated in different ways

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6
Q

MAUP components

A

scale effect

zoning effect

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7
Q

MAUP scale effect

A

consequence of spatial aggregation

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8
Q

MAUP zoning effect

A

results from the multitude of zoning schemes that could be constructed and used at any given scale

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9
Q

Boundary issues in statistics

A

simpson’s paradox

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10
Q

Boundary issues in geostatistics

A

change of support problem

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11
Q

Boundary issues in geography

A

MAUP

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12
Q

Boundary issues in sociology

A

ecological fallacy

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13
Q

Ecological fallacy

A

when its inferred that data for areas under study can be applied to individuals in that area
relationships at one geographic scale are not necessarily true at other geographic scales

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14
Q

Four common statistical ecological fallacies

A

confusion between ecological correlations and individual correlations
Confusion between group average and total average
Simpson’s Paradox
Confusion between higher average and higher likelihood

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15
Q

Confusion between ecological correlations and individual correlations

A

the correlation between individual variables is deduced from the correlation of the variables collected for the group to which those individuals belong

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16
Q

Confusion between group average and total average

A

the average for a group is approximated by the average in the total population divided by the group size

17
Q

Simpson’s Paradox

A

when comparing two populations divided in
groups of different sizes, the average of
some variable in the first population can be
higher in every group and yet lower in the
total population

18
Q

Confusion between higher average and higher likelihood

A

Higher average implies higher likelihood, e.g. the ecological fallacy results from incorrectly assuming that individuals in wealthier states are more likely to be
wealthy

19
Q

Preventing ecological fallacy

A

Be aware of the process of aggregating or disaggregating data
may conceal the variations that are not visible at the larger
aggregate level

20
Q

Scale implications

A

anticipate influence of geography
assume not all locations will respond in the same way and responses will show spatial pattern
sampling should be dispersed

21
Q

Non-uniformity of space

A

spatial features are not evenly distributed

22
Q

Edge effects occurrence

A

where an artificial boundary is imposed on a study

23
Q

Edge effects

A

features near boundary have fewer neighbors and are less reliable

24
Q

Handling edge effects

A

use core study area
buffer study area
vary weights for features near boundary