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Geographic Information Systems Data Analysis

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Title: Geographic Information Systems Data Analysis


1
Geographic Information SystemsData Analysis
2
What is GIS Data ?
3
Types of GIS Systems
  • Raster
  • Features represented as a matrix of cells over
    continuous space
  • Each layer is one attribute
  • Analysis is done by combining layers to create
    new layers with new values
  • Cell size is critical
  • Vector
  • Each feature is a row in a table
  • Define by specific X,Y locations coordinates in
    space.(lat,long)
  • Features can be discreet locations or events
    (trees or Earthquakes)
  • Not as memory intensive

4
Raster Data
  • Grids represent entities
  • Grids made of cells
  • Value applied to cell
  • Each grid represents one attribute
  • Continuous surface of a matrix of cells
  • Analysis IncludesAnalysis is done by combining
    layers to create a new layer with new cell values
  • Buffering/Proximity
  • Reclassification
  • Hill-shade/Slope
  • Interpolation
  • Surface Calculation

5
Varieties of geographic Data
  • For a Vector System- 3 basic forms
  • Map or location data -where is it?
  • Attribute data- Information about it
  • Image data- The real world

6
Vector (Feature) Data
  • Points, Lines and Areas represent entities
  • Points - City, Tree
  • Lines - River, Road
  • Areas - Forest, Lake
  • Analysis includes
  • Buffering
  • Intersecting
  • Network Analysis (shortest path)

7
Point Data
Points represent objects that have discrete
locations Usual to small to be represented by
area or polygon Can pinpoint the exact
location Eg. Buildings Spot heights Tornadoes W
ater samples Businesses
8
Line Data
  • Represent objects that have length but are too
    narrow to be shown as polygons
  • Can be broken into many segments known as ARCs
  • Eg.-rivers
  • Roads
  • Railways
  • Bridges

9
Area or Polygon Data
  • Defined by borders and are closed
  • Usually to large to be depicted as points or
    lines
  • Can be legally defined building lots
  • Administrative- countries or counties
  • Naturally occurring boundaries- Ecozones
  • Lakes

10
Coordinate Systems
  • A coordinate system is required to reference data
    to a real world location. It could be lat/long
    or military grid.
  • ArcView transforms the image coordinates into
    real-world x,y coordinates.
  • Vector data sources stored in a real-world x,y
    coordinate system.
  • Images/Grids stored in rows and columns of
    pixels-
  • Pixel size (resolution) is critical
  • ArcView looks for georeferencing information
    stored with the image.

11
Attribute data
  • The descriptive data that a GIS links to map
    features
  • Attribute data is collected and compiled to link
    to specific locational data-
  • census data by Province
  • often comes packaged with map data

12
Image Data
  • Data produced by an optical or electronic device.
    Usually originally in Raster format
  • Remote sensed data
  • Satellite remote sensed Data
  • Aerial photography
  • Scanned data
  • Photographs
  • Can be linked to locational data or registered to
    display with other themes and layers with real
    world coordinates

13
What is GIS Analysis
  • From simple to Complex
  • Simple - Sometimes by just making a map you are
    doing analysis
  • Complex - Sometimes we use many layers of data to
    simulate real world events

14
Data Analysis
  • What do we Map in a GIS?
  • Map where things are-Location Analysis
  • Map the most and least-Quantitative Analysis
  • Map concentrations- Density
  • Map what is inside-Monitoring
  • Map what is nearby-Relationships
  • Map Change-Prediction
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