Lecture 5 GIS Data Quality Flashcards

1
Q

GIS data quality is based on two things

A
Attribute quality (non-spatial Data)
Positional quality (Spatial Data)
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2
Q

What is Metadata?

A

Metadata is information about the data that contains information about the data source.

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3
Q

Main contents of metadata? 8

A

Who? - Author, a person, an organization
What? - main content, what is about your data
where? - Spatial coverage
why? - what is the purpose of creating the data
how? - method used to create the data
scale? - any scale info, map projection info
Any algorithms or transformations?

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4
Q

What are the elements of metadata? 10

A
Spatial data structure
projection
coordinate-system
datum conversion or transformation
scale
when
how
field name and properties
data quality/ errors
accuracy and precision
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5
Q

Define accuracy and precision for GIS

A

Accuracy: the extent to which attributes and position data correspond to their real-world counterparts.
Precision: the EXACTNESS of the measurements or the number of decimal places that a device is capable of measuring.

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6
Q

what are the possible errors in geospatial data 5

A
Attribute errors
positional errors
Topological /geometric errors
ecological fallacy
Modifiable areal unit problem (MAU)
T E A M   P
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7
Q

Two common methods for determining attribute accuracy?

A
  • Random spot checking

- Spatial sampling

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8
Q

what is an error matrix?

A

-error matrix, also known as confusion matrix or contingency table helps us determine attribute accuracy -is good for nominal or ordinal data

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9
Q

what is RMSE? accuracy wise?

A

Root Mean Square Error
the closer it is to 0, high the accuracy
further it is from 0, low the accuracy

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10
Q

What is the positional error? and scale_____!

A

Measures how close the geographic coordinates of features in a spatial data layer are to their real-world geographic coordinates
SCALE MATTERS

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11
Q

what to use to fix topological errors?

A
  • use appropriate fuzzy tolerance value

- fuzzy tolerance snaps points to form a single point.

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12
Q

Temporal accuracy

A

refers to how up to date your data is

Some object of interest need to be updated every several years
some every short interval e.g. hurricanes

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13
Q

Ecological Fallacy

A

Is a belief that all observations within an area will exhibit the same or similar values for a particular characteristic
Average for a group represents individual for the same group!

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14
Q

What is MAUP?

A
  • Modifiable Areal Unit Problem
  • The modifiable areal unit problem is a source of statistical bias that can significantly impact the results of statistical hypothesis tests.
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15
Q

What is error propagation?

A

using datasets that originally contained errors will propagate errors in final products

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