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Esri Exam EADP19-001 Topic 10 Question 36 Discussion

Actual exam question for Esri's EADP19-001 exam
Question #: 36
Topic #: 10
[All EADP19-001 Questions]

An ArcGlS user has a point feature class and needs to determine whether there are any spatial outliers. For this project, a spatial outlier is defined as any feature that is greater than one standard deviation from the mean center of the features.

Which Spatial Statistics geoprocessing tool should be used to accomplish this task?

Show Suggested Answer Hide Answer
Suggested Answer: A

Contribute your Thoughts:

Bulah
2 months ago
This question is making my head spin like a top! Maybe I should just use a Ouija board to figure out the answer. Or perhaps a crystal ball would work better for spatial analyses.
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Omega
1 days ago
B) Central Feature
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Vi
3 days ago
I think the correct tool is C) Mean Center.
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Izetta
7 days ago
A) Average Nearest Neighbor
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Jacquline
2 months ago
Hold up, is this a trick question? I mean, if we're looking for outliers, wouldn't the Average Nearest Neighbor tool be the way to go? It's like finding the black sheep in the herd, right?
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Stacey
5 days ago
User 3: Yeah, that tool should help identify any spatial outliers.
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Venita
6 days ago
User 2: I agree, it's like finding the black sheep in the herd.
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Cecilia
7 days ago
User 1: I think the Average Nearest Neighbor tool would be the best choice.
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Dominga
2 months ago
I'm stumped on this one. All the options sound somewhat relevant, but I'm not sure which one is the best fit. Guess I'll have to do some more research on these spatial analysis tools.
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Maryrose
15 days ago
I'm leaning towards A) Average Nearest Neighbor.
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Reyes
16 days ago
D) Standard Distance
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Ryann
17 days ago
I agree, C) Mean Center seems like the right choice.
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Lindsey
18 days ago
C) Mean Center
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Blythe
19 days ago
I believe D) Standard Distance could be the one.
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Marshall
1 months ago
B) Central Feature
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Bonita
1 months ago
I think it might be C) Mean Center.
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An
1 months ago
A) Average Nearest Neighbor
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Tenesha
2 months ago
Interesting problem. I'm not sure Standard Distance is the right tool though. Wouldn't Mean Center be a better choice to first find the mean center, and then we could use that to identify the outliers?
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Phillip
2 months ago
I'm not sure, but I think D) Standard Distance might also be useful in identifying spatial outliers based on the distance from the mean center.
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Carol
2 months ago
I agree with Fausto. Mean Center calculates the center of the features, so it can help identify spatial outliers.
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Sunshine
2 months ago
Hmm, the key here is to identify spatial outliers. I think Standard Distance would be the way to go since it calculates the standard distance around the mean center, which could help identify the outliers.
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Levi
28 days ago
Yes, Standard Distance calculates the dispersion around the mean center, making it ideal for identifying spatial outliers.
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Lashaun
1 months ago
I agree, Standard Distance would be the best tool to use in this case.
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Selene
1 months ago
Yes, Standard Distance calculates the standard distance around the mean center, which can help identify spatial outliers.
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Dwight
2 months ago
I agree, Standard Distance would be the best tool for this task.
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Fausto
2 months ago
I think the answer is C) Mean Center.
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Dewitt
2 months ago
I'm not sure, but I think D) Standard Distance could also be used to identify spatial outliers based on the distance from the mean center.
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Nilsa
2 months ago
I agree with Yaeko. Mean Center calculates the center of the features, so it can help identify spatial outliers.
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Yaeko
3 months ago
I think the answer is C) Mean Center.
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