Geographic Information Systems - PowerPoint PPT Presentation

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Geographic Information Systems

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Title: Geographic Information Systems


1
Geographic Information Systems
  • GIS Analysis and Modeling

2
1. Geographic Analysis
  • Geographic questions where, when, why, and how
  • The purpose of the analysis is to answer
    questions about
  • - what existed at where, when, why, and how
  • - what will happen at where in the future or in
    other locations

3
2. Organizing Geographic Data
  • Data layers (shape file etc.)
  • Feature types points, lines, polygons
  • Object types geometric or thematic
  • e.g. Development
  • streets - line layer1
  • water - line layer2
  • parcels - polygon layer1
  • soils - polygon layer2

4
3. Maintenance of the Spatial Data
  • Format transformation
  • - Spatial data files must be transformed into
    the data structures and file formats used
    internally by a GIS software package
  • Geometric transformation
  • - Different data layers should be registered to
    a common coordinate system

5
4. Maintenance of Attribute Data
  • Attribute editing
  • - List, add, delete, redefine, etc.
  • Attribute query
  • - Retrieve attributes according to certain
    criteria

6
5. Integrated Analysis of Spatial and Attribute
Data
  • The power of GIS lies in its ability to analyze
    spatial and attribute data together
  • Retrieval, classification, and measurements
  • Overlay

7
5. (1) (i) Retrieval
  • Selective search without modifying the original
    data (for output)

http//www.sdsmt.edu/online-courses/geology/mprice
/geo416/lecture9.ppt
8
5. (1) (ii) Classification
  • Attribute data
  • - cerate a new attribute item based on existing
    ones
  • Spatial data
  • -spatial features may be aggregated to larger
    entities
  • e.g. Recode in a raster environment
  • Dissolve in a vector environment
  • Single layer vs. multiple layers (overlay)

9
Classification
Raw data
Classified data
http//www.geog.leeds.ac.uk/courses/level2/geog275
0/geog2750_15.ppt
10
5. (1) (iii) Measurement
  • Distances between points
  • Nearest distances
  • Functional distances
  • Lengths of lines
  • Perimeters and areas of polygons
  • Centroid of an area
  • Area of a profile
  • Volume
  • Shape
  • Narrowest and broadest distances across a polygon
  • Sinuosity of a line

11
5. (1) (iii) Measurement
  • Distances between Points
  • - Euclidian distance

12
5. (1) (iii) Measurement
  • Nearest distances

The Closest Facility
13
5. (1) (iii) Measurement
  • Functional Distance

Three-minute response time from a fire station,
City of Phoenix
http//www.esri.com/mapmuseum/mapbook_gallery/volu
me17/public2.html
14
5. (1) (iii) Measurement
  • Lengths of lines
  • Perimeters and areas of polygons

15
5. (1) (iii) Measurement
  • Centroid of an area
  • It is used to represent a polygon by a single
    point
  • Several methods to identify a centroid mean
    value of vertices coordinates, center of the
    enclosing circle or rectangle,

http//www.geoict.net/tgipage/Teaching/UNIT207--P
PT.pdf
16
5. (1) (iii) Measurement
  • Area of a profile
  • Volume

17
5. (1) (iii) Measurement
  • Shape
  • - how to measure shape of an area?
  • - a compact shape has a small perimeter for a
    given area
  • compare perimeter to the perimeter of a circle of
    the same area - shape perimeter / area
  • Narrowest and broadest distances across a polygon

18
5. (1) (iii) Measurement
  • Sinuosity of a line - the ratio of the actual
    length to the straight line length between point
    A and point B

19
5. (2) Overlay
  • Arithmetic overlay
  • Logic overlay
  • Weighting input layers
  • Raster vs. vector overlay

20
5. (2)(i) Arithmetic Overlay
  • adding layers, subtracting, multiplication,
    division, etc.
  • Raster

Input data layer A
Input data layer B
Output data layer
21
5. (2)(i) Arithmetic Overlay
  • Arithmetic operation on two data layers using the
    vector data model

Attribute data
Spatial data
Input data layer A
Input data layer B
Output data layer
22
5. (2)(ii) Logic Overlay
  • Finding areas where certain conditions occur
  • Boolean logic

Mary Ruvane, UNC Chapel Hill
23
5. (2)(iii) Weighting Input Layers
  • Professional experiences
  • Expert votes
  • Empirical or analytical models

24
5. (2)(iv) Raster vs. Vector Overlay
  • Raster
  • - Every cell is executed, and the overlay result
    is a new layer
  • Vector
  • - The operation is executed only for areas of
    interest
  • - New attribute items are created
  • - New layers may be created that carry both the
    original and new attributes
  • - The operation is generally more complex than
    raster overlay

25
Raster Overlay
Vector Overlay
http//www.geoict.net/tgipage/Teaching/UNIT207--P
PT.pdf
26
Readings
  • Chapter 5,6,9,10

27
3.(3) Conflation
  • The procedure of reconciling the positions of
    corresponding features in different data layers
    (e.g. snapping).
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