Lecture 7: Spatial analysis Flashcards

1
Q

How is GIS analysis different from mapping or visualization?

A

`Facilitate geographically distributed analysis of the problem

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2
Q

What are the general types of questions that are addressed with GIS?

A

Location, condition, patterns, trends, implications

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3
Q

Choosing an analysis method (procedures/steps)

A

Database
Mapping
Spatial analysis
Spatial modelling

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4
Q

How can spatial relationships be classified?

A
  • into 3 categories
  • proximal
  • topological
  • directional
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5
Q

What are the types of pattern?

A

Random
Uniform
Clustered

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6
Q

Do you need cell resolution for perimeter?

A

Yes, in raster you need cell resolution

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7
Q

Do you need cell resolution in area for raster?

A

Yes, cell resolution is needed

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8
Q

What are the measurements in real space (non isotropy effects)

A
Absolute barrier (Physical features)
Relative barrier (gives various opportunity for passing through space)
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9
Q

What is proximity analysis?

A

Proximity analysis provides a measure of “nearness” or “farness” using distance or some other relative measure of distance such as cost distance or travel time

  • conducted to evaluate the influence of objects with respect to other surrounding objects
  • Buffers and thiessen polygons are examples
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10
Q

Thiessen (voronoi) polygon

A

Define individual areas of influence around each point in a set
each point in only one polygon is called a proximal region
every point is closer to the point enclosed

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11
Q

Vector overlay analysis

A

AND: INTERSECTION
OR: UNION
NOT : COMPLEMENT
XOR: EXCLUSION

  • point in point polygon: containment
    -line - in line polygon: intersection
    polygon-on-polygon: adjacency
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12
Q

What are the issues with GIS analysis?

A
  • the choice of zones in the study area influence the output statistics
  • the number of zones in the study area influence output statistics
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13
Q

What is mean center?

A

Mean center is one of the many spatial measure to analyze the geographic distribution of data

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14
Q

What are potential sources of error in GIS analysis and how can you combat them?

A
  • Data generalization (How to improve: use more accurate instruments)
  • Edge and boundary effects (How to improve: Go for a larger area of analysis)
  • Resolution effects ( How to improve: Make cell size smaller)
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