mid 2 Flashcards

1
Q

1

A
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2
Q

2

A
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3
Q

How does lidar measure distance

A

It is an active sensor

It shoots a laser beam that bounces on a surface and senses how long it took

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4
Q

What does DEM stand for

A

Digital Elevation Model

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5
Q

What are the two types of contour lines on a topographical map?

A

Index(thick one, the one your eye catches)
in between(supplemental interval lines divide into 5)

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6
Q

What are the three main geometries in GIS, symbolize and analyze
vector data
feature data is images (can be lidar(raster)

A

Point, line, Area

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7
Q

Name the 4 types of analyses we discussed

A

Point pattern, proximity, correlation, autocorrelation

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8
Q

4 answers
which is not one of our 4 patterns

uniform- the whole map is consistent(predict one part of the map is the same as the other)
cluster-grouped in map
random- testing how clustered it is
scatter

A

scatter

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9
Q

One way to symbolize point data
name three ways to change its symbology

A

Color, shape, and size

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10
Q

How are three ways you can symbolize line data

A

color, style, and size

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11
Q

Name two ways you can symbolize a polygon

A

pattern(stripe poka dot) and color

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12
Q

With GIS we often set a classification In a certain
they are equal

A

equal-interval

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13
Q

classified where things are clusters
naturally placed
around the whole range

A

natural interval

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14
Q

looking at distribution curve
and that is the distribution

A

quantile

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15
Q

This classification is set by the map maker

A

manual

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16
Q

Give me an example of a strong, positive autocorrelation

A

temperature

17
Q

give me two examples of normalized data

A

number of people per area, takes one data set and does something to it to process it

population density

18
Q

give me two examples of non normalized data

A

people per area

grass grown

raw data

19
Q

explain an ecological fallacy

A

all college students are broke

a sample must be the same as the average

voting for teams(dogers or the other)
representing on what could be the minorty

20
Q

this type of redistricting seems to consolidate and redefine bonders of districts to define a majority

A

gerrymandering

21
Q

one alternative to projection maps like election data
to traditional spacial mapping

election results as equal polygons

A

cartogram
(a map that doesn’t neceasriyl mean shape is accurate)

add from slide

22
Q

what kind of mapping is unbias

A

none

23
Q

what kind of (inherent errors lies) do mapp makers need to look for

A

projection has data that is generalizing(earth is not 2d)

just making mistakes(being human)

24
Q

what is a pernicious lie(malicious)

A

gerrymandering- chnaging how data is perceived by redifing boundering

propaganda

copyright infringement- iusiong a map and naming it their own

projection- intentionally like move the equation northward so other countries look better

25
Q
A