Week 8 - Raster analysis Flashcards

1
Q

Advantages of raster analysis

A
  • analyse continuous surface variables, i.e slopes, density, proximity
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2
Q

non-raster surface representations

A
  • contour elevation lines

- triangulated mesh (TIN)

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3
Q

Image raster format encodes __ ____ values

A

RGB colour

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4
Q

Raster cell criteria

A
  • all cells have to be referenced
  • cells have ground resolution
  • values are either integer (1,4,7) or floating (1.1, 2.3).

Zonal raster:

  • Must be integer values
  • value signifies zone ID: (e/g land uses are indicated by a numerical number)
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5
Q

Can raster data represent points, lines and polygons, like vector data?

A

Yes

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6
Q

Raster Overlay features

A
  • all grid cells has a numerical value (any scale of measurement)
  • simpler than vector data overlay
  • no sliver problem
  • layers must have same cell resolution and coordinate system/projection.
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7
Q

Map algebra

A

used to execute all spatial analyst tools (e.g two inputs male and female, + together for total pop)

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8
Q

procedure of using algebraic techniques to build models for spatial analysis is called ____

A

Cartographic modelling

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9
Q

Scale of analysis

A
  • Local: per cell
  • Neighbourhood/Focal: local cell neighbourhood (immediate cells surrounding local cell)
  • Zonal: defined groups of cell
  • Global: entire raster
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10
Q

Local operation

A

-single raster layer: sin, log
-multiple raster layers: mean, min
Reclassification:
-for different interpretations
- e.g old values range 2-7 to be reclassified to 9

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11
Q

Neighborhood (Focal) operations

A
  • aggregate functions: sum, mean etc
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12
Q

Zonal operations

A

two inputs:

  • Zone (i.e gov. area, catchment)
  • Value raster (i.e population, elevation)

Result summary: calculate the selected statistic from the value raster based on each zone in zone raster.

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13
Q

Global distance operations

A

Types of distances

  • euclidean (direct line from cell to cell)
  • Incremental (<>^)
  • cost distance –> multiple buffers
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14
Q

Operations in Raster Overlays

A
  1. arithmetic operators
  2. boolean operators
  3. combinatorial operators
  4. logical operators.
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15
Q

Arithmetic operators

A

+ - * /

NODATA=NODATA

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16
Q

combinatorial operators

A

boolean extentions

  • cand (CombinatorialAnd)
  • cor
  • cxor
17
Q

Logical operators

A

-diif, in, over

18
Q

Cartographic modelling

A
  • descriptive (explain patterns

- prescriptive (solutions for a problem)

19
Q

Raster analysis applications

A
  • land use analysis (suitability analysis, simple models)
  • terrain and hydrological analysis
  • environmental analysis
20
Q

suitability analysis

A
  • combination of preference maps (e.g best skiing area –> overlay slope, snowfall and sun)
  • can assign weight
21
Q

Environmental analysis

A
  • data association (e.g vegetation groups + elevation)
22
Q

simple spatial model e.g

A

wireless signal strength

  • function of distance from transmitter
  • euclidean distance from source transmitter.