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Analyzing Spatial Data

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Set up the analysis environment. Specifying an extent. ... Reduce the spatial extent of one layer based on the extent of another. Split ... – PowerPoint PPT presentation

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Title: Analyzing Spatial Data


1
Analyzing Spatial Data
  • Define the problem.
  • Identify the data.
  • Plan the analysis.
  • Prepare the data.
  • Execute the analysis.
  • Evaluate the results.

2
Analyzing Spatial Data
  • Set up the analysis environment.
  • Specifying an extent.
  • x,y coordinates for the bottom-left and the
    top-right corners.
  • Default is the intersection of your input data.

3
Analyzing Spatial Data
  • Set up the analysis environment.
  • Cell size.
  • Largest of the input data, unless you change it.
  • Making it smaller will involve interpolation.
  • Working directory.
  • Where the results go, unless you specify.
  • C\temp.
  • Create an analysis mask, if necessary.

4
Analysis Toolbox
  • Extracting GIS data.
  • Overlaying layers.
  • Identifying what is nearby (proximity).
  • Quantifying the results (statistics).

5
Extract toolset
  • Clip
  • Select
  • Split
  • Table select

6
Clip
  • Reduce the spatial extent of one layer based on
    the extent of another.

7
Split
  • Breaks the input features into multiple output
    feature classes.

8
Table Select
  • Extracts selected attributes from an input table
    and stores them in a new output table.

9
Overlay Toolset
  • Erase
  • Identity
  • Intersect
  • Symmetrical difference
  • Union
  • Update

10
Erase
  • Creates a feature class by overlaying the input
    features with the erase features.

11
Identity
  • Geometric intersection of the input and identity
    feature classes.

12
Aggregating Features (intersect)
  • Find those features falling within the spatial
    extent common to two layers.

13
Intersect
  • Portion of features which are common to all
    inputs

14
Symmetric Difference
  • Geometric intersection of the input and
    difference features.

15
Aggregating Features (union)
  • Use Union to overlay two polygon layers.
  • Has the combined attribute data of the polygons
    in the two inputs.
  • Contains all the polygons from the inputs,
    whether or not they overlap.
  • Produces a new layer combining the features and
    attributes of two polygon layers.

16
Union
17
Aggregating Features
  • If aggregated features are saved as shapefiles
    the attribute data are not updated.
  • If saved as feature classes in a geodatabase the
    attribute tables are updated in new fields called
    shape_area and shape_length.

18
Update
  • Geometric intersection of the input features and
    update features

19
Proximity Toolset
  • Buffer
  • Multiple Ring Buffer
  • Near
  • Point Distance

20
Creating buffers around features.
  • Finding what features are within a set distance.
  • Finding what features are within a travel cost
    distance.
  • Finding what features are within hearing range.

21
Buffer
22
Near
23
Point Distance
  • Euclidean distance

24
Generalization Toolset
  • Dissolve features of a single layer based on a
    specified attribute value.
  • Takes out borders between features.

25
General Toolset
  • Append
  • Copy
  • Delete
  • Rename
  • Select Name

26
Statistics Toolset
  • Frequency
  • Summary Statistics
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