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24 Cards in this Set

  • Front
  • Back

The Major Models - Raster

regular grid

rows from top left

each cell with one value

fills whole area

one set = layer

Raster Representation of Discrete SpatialEntities

Points arerepresented assingle grid cells

Lines representedas a series ofconnected grid cells

Areas representedby series ofconnected grid cells

Raster shows whatoccurs everywhere

– Vector showswhere everythingoccurs

Raster - Key Issues

Resolution


-Quantitative


-Qualitative

Data compression

Suitability to application

Requirements for scanning

-documents must be clean (no smudges or extramarkings)


-complex line work provides greater chance oferror in scanning


-text may be accidently scanned as line features

Cell values: whole numbers (integers) -32767 to +32767

Cell values: decimal (real) values (+/- 1 x 1038 withprecision of 7 significant figures)

Cell values: byte values ranging from 0 to 255

Cell values: Integers as codes


0 = "no class”


1 = "fine sandy loam"


2 = "coarse sand"


3 = "gravel"

Map layers: each cell - one value


• Generalisation

Map layers:each theme/item type - one layer


– soils


– vegetation


– roads


– water


– urban area

Map layers: each theme/item type - one layer


• hundreds of layers used

Map layers: each theme/item type - one layer


• each layer hundreds or thousands of cells

Map layers: Qualitative


• Classification detail


• grid size/density

Map layers: Quantitative


• smallest unit(cell/pixel)used


• smaller (higherresolution/morepixels/moredetail/more computermemory and speedneeded)

Raster: Disadvantages


• Data redundancy



Raster: Disadvantages


• All grids either square orrectangular

Raster: Disadvantages


• Must store value for allcells

Raster: Disadvantages


• No “empty space” even ifyou want it!

Raster: Disadvantages


• Can be less aestheticallypleasing

Raster: Disadvantages


• Exact shapes of entitiesare only approximated

Raster: Disadvantages


• Accuracy ofmeasurements limited byresolution

Raster: Disadvantages


• The “mixel” problem

Raster: Disadvantages


• Weak with nominal data

Raster: Advantages


•Simple structure



Raster: Advantages


Superior representation ofcontinuous phenomena

Raster: Advantages


Ideally suited forquantitative combinationsof multiple data layers

Raster: Advantages


Makes it very easy to writecomputer models assequences of computations

Raster: Advantages


In general, much broaderrange of analysiscapabilities

Raster: Advantages


Compatibility with digitalsatellite imagery/aerialphotography

Raster: Advantages


Good for viewshed and costsurface analysis