Measurement and Spatial Data - Part 2 Flashcards

1
Q

Levels of Measurement (wiki definition)

A

a classification that describes the nature of information within the values assigned to variables

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2
Q

Levels of Measurement is organized under the principle of….

A

invariance under transformation (i.e. scale retains its information…)

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3
Q

Steven’s theorized four levels of measurement

A

Nominal

Ordinal

Interval

Ratio

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4
Q

Nominal

A

Objects can be classified into groups. Nominal offers names, symbols or labels for categories.

Example:
Liberals, Conservatives.
Categories of Rocks.

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5
Q

Ordinal

A

Rank ordering of data.
Describes order, but not the relative size or degree of difference between the items measured.

Example: rating systems, ranking data.
Likert scale is a type of ordinal scale!

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6
Q

Interval

A

Arbitrary zero

Quantitative attributes are all measurable on interval scales, as any difference between levels of an attribute can be multiplied by any real number to exceed or equal another difference

Example: Celsius, Calendars

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7
Q

Ratio

A

Non arbitrary zero.

Measurement is the estimation of the ratio between a magnitude of a continuous quantity and a unit magnitude of the same kind.

Example: mass, length, time, plane angle, etc.

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8
Q

Other system of levels of measurement

A

Discrete vs. Continuous

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9
Q

Discrete

A

Discrete data cannot be dived. It is distinct and separate

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10
Q

Continuous

A

Continuous data is measure and may take on any value within a finite or infinite interval

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11
Q

Discrete (4 levels of measurement)

A

Nominal

Ordinal

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12
Q

Continuous (4 levels of measurement)

A

Interval

Ratio

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13
Q

Types of Scales

A

Extensive

Derived

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14
Q

Derived Scales (intensive scales)

A

Have an arbitrary zero.

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15
Q

GEOGRAPHIC INFORMATION INVOLVES THE THREE COMPONENTS OF…

A

TIME

SPACE

ATTRIBUTE

…. each with its own reference system and system of meaning.

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16
Q

why is spatial data and GIS often done incorrectly?

A

diverse backgrounds of developers

Many of the algorithms, statistics and procedures fall outside of the users comfort zone

both of which increase probability of improper use