Topic 12 Flashcards

(22 cards)

1
Q

vector clip

A

overlay clip feature on input layer

determine locations where polygon boundaries are coincident, identify the line segments that intersect

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2
Q

raster clip

A

determine range of pixel rows and columns for the clip region

eliminate pixels that fall outside the clip extent

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3
Q

local operations

A

on raster data refer to cell-by-cell operations

can be performed on a single or multiple raster images

summary statistics (mean, min, max)

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4
Q

what operations are useful for activities such as change detection analysis

A

local operations

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5
Q

map algebra

A

mean map, local operators

depdends on what you want to accomplish

detect historical landscape changes

outcome of boolean expression is binary

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6
Q

map algebra definition

A

process of constructing siple numeric models based on overlaying raster layers and performing mathematical operations on the layers

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7
Q

extended map algebra

A

becomes much more complicated with more raster sets

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8
Q

neighbourhood (window) operatios

A

in Arcgis (statistical or convolution)

works on a neighbourhood of cells, then moves the window to a new set of cells

typically done on a single raster

can be high or low frequency

spatial filtering (phones)

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9
Q

low pass filters

A

removes the high frequency information (noise) and shows general trends in the data

smoothing operation

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10
Q

high pass filter

A

removes the low frequency information and show the high frequency (sharpening)

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11
Q

neighbourhood operation

A

widely applied in a variety of raster applications

remote sensing texture analysis

DEM processing

spatial filtering

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12
Q

focal cell

A

local or pixel of interest (spatial interest)

the windows do not have to be square

block or focal neighbourhoods

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13
Q

masks and windows

A

windows are positioned over a focal pixel

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14
Q

spatial filtering (convolution)

A

operations are performed using a moving window and a spatial neighborhood within a single raster layer

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15
Q

convolution coefficients

A

the moving window (kernel) is a matrix of convolution coefficients (weights)

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16
Q

mean low pass filter raster values

17
Q

laplacian (edge detector values)

A

-1

adds up to 0

18
Q

laplacian filter

A

high-pass filter

extract, enhance, add back into the original image

adds edge to high frequency info

edge detector

usually for aesthetics

19
Q

zonal operations

A

zonal statistics

refers to raster analysis restricted to regions or zones within the map

window size and shape not regular (polygons)

MAUP

20
Q

MAUP

A

the influence of modifiable areal units on statistical analysis

shifting boundaries, shifting results

21
Q

two problems of MAUP

A

1) measurement scale

2) aggregation

22
Q

solutions to MAUP

A

define fundamental entities

avoid using arbitraily define scales’’

use spatial statistics where able