Download presentation

Presentation is loading. Please wait.

Published byMacie Bushnell Modified over 2 years ago

1
Introdução to Geoinformatics: Geometries

2
Vector Model Lines: fundamental spatial data model Lines start and end at nodes line #1 goes from node #2 to node #1 Vertices determine shape of line Nodes and vertices are stored as coordinate pairs node vertex

3
Vector Model Polygon #2 is bounded by lines 1 & 2 Line 2 has polygon 1 on left and polygon 2 on right Polygons : fundamental spatial data model

4
Vector Model less complex data model polygons do not share bounding lines Shapefile polygon spatial data model

5
Vector geometries

6
Polygons Arcs and nodes

7
Vector geometries Points Island

8
Vector geometries fonte: Universidade de Melbourne

9
Vector geometries: the OGC model fonte: John Elgy

10
Para que serve um polígono? Setores censitários em São José dos Campos

11
Vectors and table Duality between entre location and atributes Lots geoid ownercadastral ID 22Guimarães Caetés 768 address 22 250186 23BevilácquaSão João 456 110427 24 RibeiroCaetés 790 271055 23

12
Duality Location - Attributes Praia Brava Praia de Boiçucanga Exemplo de Unidade Territorial Básica - UTB

13
Vector and raster geometries Raster Vector fonte: Mohamed Yagoub

14
Raster geometry célula Extent Resolution source: Mohamed Yagoub

15
Raster geometries (cell spaces) Regular space partitions Many attributes per cell

16
Cell space

17
2500 m2.500 m e 500 m Cellular Data Base Resolution

18
Rasters or vectors? source: Mohamed Yagoub

19
Raster geometry fonte: Mohamed Yagoub

20
The mixed cell problem fonte: Mohamed Yagoub

21
Cells or vectors?

22
Cells or vector?

23
Cells or vectors? (RADAM x SRTM)

24
Cells or vectors? (RADAM x LANDSAT)

25
Raster or vectors? “Boundaries drawn in thematic maps (such as soil, vegetation, and geology) are rarely accurate. Drawing them as thin lines often does not adequately represent their character. We should not worry so much about the exact locations and elegant graphical representations.” (P. A. Burrough)

26
isolines TIN 2,5 D geometries

27
Grey-coloured reliefShaded relief

28
2,5Dgeometries Regular grid

29
2,5 D geometries TIN (triangular irregular networks)

30
Conversion btw geometries

31
Point in Polygon = O(n) Geometrical operations

32
Line in Polygon = O(nm) Geometrical operations

33
Topological relationships

34
Disjoint Point/Point Line/Line Polygon/Polygon

35
Topological relationships Touches Point/Line Point/Polygon Line/Line Line/Polygon Polygon/Polygon

36
Topological relationships Crosses Point/Line Point/Polygon Line/Line Line/Polygon

37
Topological relationships Overlap Point/Point Line/Line Polygon/Polygon

38
Topological relationships Within/contains Point/Point Point/Line Point/Polygon Line/Line Line/Polygon Polygon/Polygon

39
Topological relationships Equals Point/Point Line/Line Polygon/Polygon

40
Interior: A ◦ Exterior: A - Boundary: ∂A Topological relations

41
Topological Concepts Interior, boundary, exterior Let A be an object in a “Universe” U. A U Green is A interior Red is boundary of A Blue –(Green + Red) is A exterior

42
4-intersections disjoint contains inside equal meet covers coveredBy overlap

43
OpenGIS: 9-intersection dimension-extended topological operations Relation disjointmeetoverlapequal 9-intersection model

44
44 Example Consider two polygons A - POLYGON ((10 10, 15 0, 25 0, 30 10, 25 20, 15 20, 10 10)) B - POLYGON ((20 10, 30 0, 40 10, 30 20, 20 10))

45
45 I(B)B(B) E(B) I(A) B(A) E(A) 9-Intersection Matrix of example geometries

46
Specifying topological operations in 9- Intersection Model Question : Can this model specify topological operation between a polygon and a curve?

47
9-Intersection Model

49
49 DE-9IM: dimensionally extended 9 intersection model

50
50 I(B)B(B) E(B) I(A) B(A) E(A) 9-Intersection Matrix of example geometries

51
51 DE-9IM for the example geometries I(B)B(B)E(B) I(A)212 B(A)101 E(A)212

Similar presentations

OK

Spatial data models Raster –exhaustive regular or irregular partitioning of space –associated with the field view –location-based Vector –points, lines,

Spatial data models Raster –exhaustive regular or irregular partitioning of space –associated with the field view –location-based Vector –points, lines,

© 2017 SlidePlayer.com Inc.

All rights reserved.

Ads by Google

Ppt on computer languages wikipedia Ppt on art of war movie Differential display ppt on tv Ppt on unity in diversity biology Ppt on charles dickens and his life Ppt on autonomous car accidents Ppt on earthquake disaster management Download ppt on electric motor Ppt on my sweet home Ppt on marie curie radioactivity