Learning objectives pt. 1 Flashcards

1
Q

What is statistics? formal definition

A

science of learning from data, and of measuring, controlling, and communicating uncertainty

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1
Q

what is statistics? less formal definition

A

about turning facts into meaning and knowledge

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2
Q

What is spatial statistics? 3 facts

A
  1. describing/communicating lots of spatial data
  2. are patterns systematic or random
  3. describing spatial patterns
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3
Q

3 reasons to learn/apply statistics

A
  1. describe patterns/clustering and if they’re random
  2. describe a population from a sample
  3. to estimate values through interpolation
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4
Q

Moran’s I brief background

A

measures global spatial autocorrelation

measures clustering/dispersion across the study area

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5
Q

Range of values for Moran’s I

A

-1 and 1 (negative = stronger negative spatial AC, positive = stronger positive spatial AC)
0 = random/no spatial AC

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6
Q

Moran’s I stated purpose

A

compares observed value of a cell to the average values of its neighborhood while excluding itself

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7
Q

Parameter inputs for Moran’s I

A
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8
Q

General G when would you use it

A

to identify cold/hot spots for data (high values or low values are clustered)

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9
Q

General G input parameters

A
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10
Q

General G output

A

p value < 0.05 reject null hypothesis that there complete spatial randomness

z score = high values for attributes are clustered

z score = low values for attributes are clustered

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11
Q

Which hotspot/cluster test can yield a map including outliers?

A

Anselin Local Moran’s I

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12
Q

Does GWR release the assumption of stationarity?

A

Yes

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13
Q

how can you check the suitability of a linear regression model?

A

check there are no consistent patterns in the residuals

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14
Q

why do we care about spatial autocorrelation?

A
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15
Q

when do we use r and r squared?

A

r = strength and direction of relationship
r-squared = explain how much variation in y is explained by variation in x