1 / 36

Geographic Information Systems

Geographic Information Systems. GIS Data Models. 1. Components of Geographic Data. Spatial locations Attributes Topology Time. Components – Spatial Locations. Specified with reference to a common coordinate system Spatial features can be represented as

Télécharger la présentation

Geographic Information Systems

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Geographic Information Systems GIS Data Models

  2. 1. Components of Geographic Data • Spatial locations • Attributes • Topology • Time

  3. Components – Spatial Locations • Specified with reference to a common coordinate system • Spatial features can be represented as         points      lines     polygons     volumes grids

  4. Components - Attributes • Nominal - qualitative, e.g., grasses, trees, buildings, • Ordinal - rankble quality, e.g., high, medium, low • Interval - quantitative but not ratio, e.g., 400F, 800F • Ratio - absolute quantities, e.g., p, e, -96.345, …

  5. Components - Topology • Topology Spatial relationship between geographic features   Adjacency Containment Connectivity etc. • Time Presently treated as an attribute

  6. 2. Data Models • Real world entities and spatial entities

  7. Data Models – Objects and Fields • Object and Field View • Objects - Are discrete or have identifiable boundaries - Have attributes • Fields - Are continuously - Attributes vary across the field

  8. Data Models • Vector data model • Raster data model courtesy: Mary Ruvane, http://ils.unc.edu/

  9. Data Models - (1) Vector • Every position has a pair of coordinates. • Lines and polygons are constructed by connecting a series of points. • Points, lines, and polygons are used to represent geographic features.

  10. Epidemiological Studies- Disease Tracking Incidence of Viruses ESRI, GE SmallWorld

  11. Positive Snail Prediction of Xichang Study Site using the land-cover map and field snail survey including 93 positive snail sites and 800 non-positive snail sites Positive snail 0.00 - 0.03 0.04 - 0.13 0.14 - 0.23 0.24 - 0.33 0.34 - 0.60 Lake ± 0 1,650 3,300 6,600 Meters

  12. Data Models - (2) Raster • A matrix consists of regular grid cells • Positions are defined by column and row numbers • Each cell has a single value

  13. Data Models - (2) Raster • Data consist of mostly attributes • A header file stores (1) Number of rows and columns, (2) Cell size, and (3) Coordinates of the origin • Coordinates of a location can be converted on the fly

  14. Data Models - (2) Raster

  15. 2 Data Model(3) Advantages and Disadvantages • Raster • Vector

  16. Ad and Disad - Raster • Advantages - It is a simple data model     - Overlay operation can be easily implemented   - High spatial variation is efficiently represented • Disadvantages - It is less compact - Topological relationships are difficult to represent      - The output is less aesthetically pleasing

  17. Ad and Disad - Vector • Advantages - It is a compact data model      - It is efficient in coding topology    - The output closely approximate hand-drawn maps •  Disadvantages - It is a complex data model      - Overlay operations are difficult to implement      - The representation of high variation is inefficient

  18. Readings • Chapter 3

  19. Geographic Information Systems GIS Data Structures

  20. GIS Data Structures • World views - object - field • Data models - vector - raster • Data structures   -  non-topological and topological -  run-length and quadtrees

  21. GIS Data Structures • Raster data structures - Run length     - Quadtrees • Vector data structures - Non-topological structure - Topological structure      

  22. 3 Raster Data Structures(1) Run Length • Data are recorded in the order of Attribute1, number of cells in the run; Attribute2, number of cells in the run; …

  23. 3 Raster (1) Run Length 11,4; 3,4; 11,4; 3,4; 11,4; 3,4; 11,4; 3,4; 11,3; 3,1; 5,4 …

  24. 3 Raster Data Structures(2) Quadtrees • Subdividing a region into quadrants until each quadrant contains only one class - variable resolution

  25. 3 (2) Quadtrees

  26. 3 (2) Quadtrees

  27. 4 Vector Data Structures(1) Non-topological Structure • Polygons are the basis • One polygon at a time, the data structure records coordinates of the outline of the polygon • There is no topology, and shared boundaries are recorded twice

  28. 4 Vector (1) Non-Topological Structure Storing coordinates of two polygons: and Polygon x1, y1; x2,y2;x3,y3; x4,y4; x5,y5; x1,y1. Polygon x1, y1; x6,y6; x7,y7; x2,y2;x1,y1. A (x1, y1) (x1, y1) 1 2 1 2 B (x2, y2) (x2, y2) 1 2

  29. 4 Vector (2) Topological Structure • Lines are the basis • Polygons and nodes are defined by lines • No line segment is duplicated • Line segments and nodes can be referenced to more than one polygons • All polygons have unique identifiers • Island and hole polygons can be uniquely represented

  30. 4 Vector (2) Topological Structure Storing coordinates of two polygons: and Line 1 x1, y1; x2,y2; x3, y3; x4, y4; x5,y5; Line 2 x1, y1; x5,y5; Line 3 x5, y5; x6,y6; x7, y7; x1, y1; Polygon Line 1, Line 2 Polygon Line 2, Line 3 1 2 (x1, y1) (x1, y1) Line 1 1 Line 2 Line 3 2 (x5, y5) (x5, y5) 1 2

  31. 4 Vector (2) Topological Structure • Polygon = a list of lines • Line = a set of coordinates • Point = a line with no length

  32. Topological- the Arc-Node Model • Arc - a line starting and ending at a node • Node - intersection point where two or more arcs meet or it is a dead end • Polygon - a closed chain of arcs

  33. Arc-Node Model   Polygon topology table Node topology table Arc topology table Arc coordinate data table

  34. Readings Chapter 3

More Related