C188 Week 3 And 4 - Definitions

Front 1

5 Primary Functions of Analysis

Back 1

Description
Explanation
Prediction
Prescription
Assessment

Front 2

Description - What does this phenomenon look like?

Back 2

Basic information (height, etc.)
Context (relationships: <,>,=)
Relative Position (nearer/farther than, higher/lower than)

Front 3

Explanation - Why does phenomenon occur as it does?

Back 3

Attempts to describe cause and affect relationships

Front 4

Prediction - What if...?

Back 4

Use "problem modeling" and "scenario testing" to predict how phenomenon will change due to changing circumstances

Front 5

Prescription - We should...

Back 5

Make recommendation based on evaluation of models and scenarios

Front 6

Assessment - How'd it go?

Back 6

Evaluate outcomes of recommendation

Front 7

Scale

Back 7

Scale = smallest area that can be drawn or recognized (cannot represent objects accurately; influences content)

Minimum mapping unit - level of geography at which the data was captured (only dominant species are mapped)

Front 8

Scale in Digital Maps

Back 8

Zoom feature gives false sense that scale can be altered.

Scale at which map is displayed says nothing about positional accuracy or completeness of disp. features

Front 9

Data Aging

Back 9

Maps are static and become more inaccurate over time

Front 10

Edge Mapping

Back 10

Digital procedure to ensure that all features crossing adjacent map sheets have same edge locations, attribute descriptions, and feature classes

Front 11

Typology of Data Quality Error

Back 11

Validity

Precision

Accuracy

Reliability

Front 12

Validity - Defintion

Back 12

Degree of confidence between what is intended to be measured and what is actually being measured

Front 13

Positional Validity

Back 13

Line in the data must be perceived as a line in reality

Front 14

Attribute Validity

Back 14

An attribute may be referring to only part of a feature.

Front 15

Precision - Definition

Back 15

Fineness of measurement scale (i.e. # of Sig Figs)

Front 16

Positional Precision

Back 16

Det. by ground resolution in data capture (reduced in maps)

Front 17

Attribute Precision

Back 17

Measure of how much aggregation of an attribute has been carried out

Front 18

Accuracy - Definition

Back 18

Closeness of measurement or observations to true values

Front 19

Positional Accuracy

Back 19

Confidence that position of feature as depicted is true

Front 20

Attribute Accuracy

Back 20

Closeness of measured and classified thematic values to reality

Front 21

Reliability - Definition

Back 21

Consistency of measures from several replications

Front 22

Topological Relationship

Back 22

Relationship of one spatial element with respect to another
(A inside B, D connected to B, C Disjoint from B, G overlaps E)

VS.

proximal (A near/far from B)
Directional (G north of C)