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Cellbased Modeling

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Any two or more cells with same value is a zone. They can be connected or disconnected. ... to match a coordinate system. Generalization: to smooth noisy data. ... – PowerPoint PPT presentation

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Title: Cellbased Modeling


1
Cell-based Modeling
  • Whats needed to calculate an output value for
    each cell?
  • A cell value.
  • The manipulation being applied.
  • Which other cells need to be included?

2
Cell-based Modeling
  • Five types of functions associated with
    cell-based modeling.
  • Local functions (work on single cells).
  • Focal functions (cells within a neighborhood).
  • Zonal functions (cells within zones).
  • Global functions (cells within the raster).
  • Application functions (combined in a series).

3
Cell-based Modeling
  • Local cell functions do not depend on neighbors.
  • Focal functions depend on values from a specified
    neighborhood shape, e.g., slope.
  • Zonal functions depend on values from
    neighborhoods without specific shape.

4
Cell-based Modeling
  • Global functions compute an output raster dataset
    in which the output value at each cell location
    is potentially a function of all the cells in the
    input raster datasets.
  • Euclidean distance (distance from the closest
    source cell) ((x1 - x2)2 (y1 - y2)2)1/2 .
  • Weighted (cost) surface.
  • Shortest path.

5
Detour
6
Zone Definition
7
Zone Definition
  • Any two or more cells with same value is a zone.
  • They can be connected or disconnected.
  • If connected they usually represent a single
    feature.
  • Each group of connected cells within a zone is a
    region.

8
Zone Definition Attribute Table
9
Application Functions
  • Density creates a normalized surface.
  • Surface generation interpolates a continuous
    surface.
  • Surface analysis manipulates surface data, e.g.,
    DEM to produce new data layers.

10
Application Functions
  • Hydrologic analysis surface shape/water flow.
  • Geometric transformation to match a coordinate
    system.
  • Generalization to smooth noisy data.
  • Resolution changes to make one raster match
    another.

11
Cell-based Modeling/NoData
  • The case of NoData.
  • Every cell location in a raster has a value
    assigned to it. Where we have no information we
    assign an arbitrary value or NoData.
  • Computation of an expression with NoData.
  • Return NoData for the location no matter what.
  • Ignore NoData and compute with available values.

12
Cell-based Modeling/NoData
13
Cell-based Modeling/NoData
  • Local function output will be NoData.
  • Focal function default is to compute with
    remaining values. NoData override.
  • Zonal function default is to compute with
    remaining values. NoData override.

14
Cell-based Modeling/NoData
  • Euclidean distance NoData is ignored except for
    source cells, but output raster will contain
    NoData.
  • Weighted (cost) surfaces NoData is a barrier to
    computation and NoData will be returned. Must
    have valid values for source cells.
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