sug243 - cartography (generalization)

29
Generalisatio n

Upload: muhammad-ruzaini

Post on 10-Apr-2015

1.081 views

Category:

Documents


36 download

TRANSCRIPT

Page 1: SUG243 - Cartography (Generalization)

GeneralisationGeneralisation

Page 2: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 2

GeneralizationGeneralization =Cartographic generalization The selection and simplified representation of detail

appropriate to the scale and/or purpose of the map (ICA 1973)

Generalization is the process of reducing the information content of maps due to scale change, map purpose, intended audience, and/or technical constraints. (Slocum et al)

To fit portrayal of selected features to the map scale and to the requirements of effective communication (Robinson et al 1995)

Generalization is "the reduction of detail or simplification of reality“.

Reduction of the complexity of a map to ensure its fitness for use.

maps cannot retain 'all detail', and if they could, they would be too complex to understand.

Page 3: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 3

GeneralizationGeneralization Is an umbrella term for several processes, all

intended to remove unnecessary detail. Because maps cannot show everything,

mapmaker must select which features to show and which to omit.

Features need to be simplified to be legible at smaller scale.

Data need to be classified, divided into smaller groups of similar values.

Finally symbol must be chosen to represent features on the map.

Page 4: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 4

Purpose of Purpose of GeneralizationGeneralization the reduction in scope, amount, type and

cartographic portrayal of mapped or encoded data maintenance of graphical clarity at the target

scale Basic principle of map generalization is to

emphasis salient object AND omit less important ones

Ensure readability AND preserve geographical meaning of the map as faithfully as possible.

Page 5: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 5

GeneralisationGeneralisation and and symbolisationsymbolisation The elements of generalisation The controls of generalisation Classification, simplification and exaggeration

manipulations Symbolising geographical features

Page 6: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 6

Selection and Selection and GeneralisationGeneralisation Selection - to limit our concern to those classes of

information that will serve the map’s purpose Which elements remain depends on the purpose

of the map : topographic, thematic etc How many elements remain depends mostly on

map scale: if map scale is halved, then the total map area size is reduced by 4, and the number of elements: points, lines and areas are reduced accordingly

Page 7: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 7

Generalisation ConceptsGeneralisation Concepts Classification - order, scale and group features by

their attributes Simplification - determine important

characteristics of feature attributes and eliminate unwanted detail

Exaggeration - enhance or emphasise important characteristics of the attributes

Symbolisation - use graphic marks to encode the information for visualisation and place them into a map

Induction-making inferences from interrelationships among features on map.

Page 8: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 8

The Elements of The Elements of GeneralisationGeneralisation Classification

Qualitative attributes Quantitative attributes

Simplification Exaggeration

E.g. 20m street on 1:100,000 map scale would be only 0.2mm wide

Symbolisation

Page 9: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 9

Effect of Scale on Effect of Scale on Visual Perception Visual Perception

There is a practical level of detail asssociated with any scale. Traditionally on printed maps, one could identify a 'minimal resolvable unit' of about 0.5 mm. This translates for common scales to these amounts in metres:

1:20,000    10          1:50,000    25         1:25,000    125    1:1,000,000      500

That is, if your map or display is for example at 1:50,000 it is not reasonable to be able to depict a feature or detail smaller than about 25 metres in size. Data captured at one scale are not transferrable to widely different scales. Data captured at a larger scale are too detailed for smaller scales, and data captured at a small scale are too generalised for larger scales.

 

Page 10: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 10

ClassificationClassification

Classification of a point pattern. After clustering the points, the cartographer selects a position within each cluster and places a dot to “typify” the cluster. The “typical” position need not coincide with the position of any of the original data points.

From Robinson, et al., 1995

Page 11: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 11

SimplificationSimplification

Simplification by point elimination. In the illustrated clusters of points, one original point is selected to represent each cluster of original points on the generalised map.

From Robinson, et al., 1995

Page 12: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 12

Simplification Simplification (Cont.)(Cont.)

Reducing map scales leads to the consequent simplifications.

From Robinson, et al., 1995

Page 13: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 13

Simplification Simplification (Cont.)(Cont.)

Reducing map scales leads to the consequent simplifications.

From Robinson, et al., 1995

Page 14: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 14

ExaggerationExaggeration

Two representations of Great Britain and Ireland. (A) simplified to fit the scale and is suitable for a reference map intended to give the impression of detailed precision. (B) diagrammatric generalisation suitable as a base on which to display thematic data.

From Robinson, et al., 1995

Page 15: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 15

Generalization-Generalization- Point features Point features

Page 16: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 16

Generalization-Generalization-linear featureslinear features

Page 17: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 17

Generalization – Generalization – Areal featuresAreal features

Page 18: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 18

The Controls of The Controls of GeneralisationGeneralisation Map purpose and conditions of use Map scale Quality and quantity of data Graphic limits

Physical limits Physiological and psychological limits

Page 19: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 19

Classification ManipulationsClassification Manipulations

Point feature methods Collapsing Typification

Line feature typification Aggregation of areas Aggregation of volumes - e.g.

Classification for choropleth maps

Page 20: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 20

CollapsingCollapsing

Illustrations of the collapsing process in cartographic generalisation. Each feature represented in the left diagrams has lost at least one dimension in its portrayal in the right diagram.

Cited in Robinson, et al., 1995

Page 21: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 21

Representations illustrating typification by classification of point, line and area features.

Cited in Robinson, et al., 1995

TypificationTypification

Page 22: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 22

Aggregation Aggregation of Areasof Areas

The original data area mapped at a scale of 1:X. (A) represents a smaller-scale agglomeration of the original data. (B) represents the further aggregation of areas for an even smaller-scale representation.

From Robinson, et al., 1995

Page 23: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 23

Elimination Point elimination Area elimination

Smoothing Filtering

Simplification Simplification ManipulationsManipulations

Page 24: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 24

EliminationElimination

Simplification accompanied by scale reduction. Since the scale is successively reduced from (A) to (E), an increasing number of points in the outline must be eliminated.

After Robinson, et al., 1995

Page 25: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 25

Elimination Elimination (Cont.)(Cont.)

Simplification applied at a constant scale. The four maps (A through D) represent increasing simplifications of the coastline and hydrography.

From Robinson, et al., 1995

Page 26: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 26

Point EliminationPoint Elimination

Simplification of the outline by point elimination. The points indicated on the map to the left were retained on the map to the right where they were connected with straight-line segments. All points not selected on the map to the left were eliminated in producing the map on the right.

Cited in Robinson, et al., 1995

Page 27: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 27

Line Simplification ProcessLine Simplification Process

Successive stages in line simplification process: (1) The initial line. (2) Point C, having the greatest perpendicular distance to line AB in (1) is selected for retention. Lines AC and CB are drawn. (3) The elimination of points between points A and C, because no perpendicular exceeds the threshold, and retention of point D, because its perpendicular distance to line CB does exceed the threshold.

Cited in Robinson, et al., 1995

Page 28: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 28

Area EliminationArea Elimination

Simplification by feature elimination. Areas on the left map are either shown in their entirety or completely eliminated in the feature-simplified map on the right.

Cited in Robinson, et al., 1995

Page 29: SUG243 - Cartography (Generalization)

Generalisation and Symbolisation 29

Area Elimination Area Elimination (Cont.)(Cont.)

Simplification by area elimination. Example algorithm using size and proximity to determine which features to eliminate.

Cited in Robinson, et al., 1995