GIS Analytical Methods Flashcards

1
Q

Overlay Analysis

A

Define problem - break problem into submodels - Determine significant layers ( some of these layers may need to be created) - reclassify or transform data within a layer

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2
Q

Spatial Overlay

A

process of superimposing layers of geographic data that cover the same are to study the relationship between them

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3
Q

Overlay

A

two or more maps or layers are superimposed for showing relationships between features

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4
Q

Identify ( Vector Overlay)

A

Input features, split by overlay features

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5
Q

Intersect (vector Overlay)

A

Only features common to all input layers

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6
Q

Symmetrical Difference ( Vector Overlay)

A

Features common to either input layer or overlay, layer but not both

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7
Q

Union (Vector Overlay)

A

All input features

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8
Q

Update ( Vector Overlay)

A

Input feature geometry replaced by update layer

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9
Q

Zonal Statistics (Raster Overlay)

A

summarizes values in a raster layer by zones (categories) in another layer- for example, calculate the mean elevation for each category

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10
Q

Combine (Raster Overlay)

A

assigns a value to each cell in the output layer based on unique combinations of values from several input layers

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11
Q

Single Output Map Algebra (Raster Overlay)

A

lets you combine multiple raster layers using an expression you enter-for example you can add several ranked layers to create an overall ranking

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12
Q

Weighted Overlay (Raster Overlay)

A

automates the raster overlay process and lets you assign weights to each layer before adding (you can also specify equal influence to create an unweighted display)

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13
Q

Weighted Sum (Raster Overlay)

A

overlays several raster’s multiplying each by their given weight and summing them together

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14
Q

Plane

A

flat, 2 dimensional surface

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15
Q

Point

A

single coordinate pair

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16
Q

Lines

A

ordered lists of coordinate pairs

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17
Q

Polygons

A

ordered lists of coordinate pairs that reconnect

18
Q

Descriptive Statistics

A

discipline of quantitatively describing the main features of a collection of information - summarizes a sample to learn about the population

19
Q

Summary Statistics

A

used to summarize a set of observations

20
Q

Coefficient of Determination

A

R squared - number that indicates how well data fit a statistical model - fit to a line or curve - a 1 indicates the line fits perfectly with the data - 0 indicates the line does not fit at all ( data is random)

21
Q

Object oriented programming (OOP)

A

programming paradigm based on concept of “objects” which are data structures that contain data in the form of fields (aka attributes) and code in the form of procedures (aka methods) - most common are class based

22
Q

Extensibility

A

system design principle where the implementation takes future growth into consideration - level of effort to extend the system and implement the extension

23
Q

Vector

A

a coordinate based data model that represents features such as points, lines, polygons

24
Q

Raster

A

defines space as an array of equally sized cells arranged in rows and columns, single or multiple bands - each cell contains an attribute value

25
Q

Vector Advantages

A

represent point, line, area very accurately; more efficient than raster in storage; supports topology; interactive retrieval; enables map generalization

26
Q

Vector Disadvantages

A

less intuitively understood; multiple vectors overlay is computationally intensive; display and plotting vectors can be expensive

27
Q

Raster Advantages

A

easy to understand; good to represent surfaces; easy to input and output; easy to draw on a screen; analytical operations are easier

28
Q

Raster Disadvantages

A

inefficient for storage; compression techniques not efficient with variable data; large cells causes information loss; poor at representing points, lines, areas; each cell can be owned by only one feature; must include redundant or missing data

29
Q

Verbal Scale

A

expresses in words a relationship between a map distance and ground distance: one inch represents 16 miles

30
Q

Visual Scale

A

graphic scale or bar scale

31
Q

Representative scale

A

representative fraction or ratio scale 1:24,000 - 1” = 24,000”

32
Q

Absolute Scale

A

system of measurement that begins at a minimum or zero point and progresses in only one direction

33
Q

Relative Scale (arbitrary)

A

begins at some point selected by a person and can progress in both directions

34
Q

Display vs Data

A

The data is built at a certain scale/accuracy but once the data is displayed in any other format that the one it was made for, the scale gets warped. Ex. a map made as 9x10 that is then scaled down and printed in a newspaper

35
Q

1 mile =

A

5280ft/ 1.6093 km

36
Q

1 ft =

A

.3048m

37
Q

1 international nautical mile =

A

2025.4 yd / 6076.12 ft

38
Q

Radians

A

360 degrees is a whole circle. 2pi x radius is the circle

39
Q

Bearings

A

angle less than 90 degrees within a quadrant defined by the cardinal directions

40
Q

90 degrees

A

right angle; 194.60 minutes of arc in one degree; 195.60 seconds of arc in a minute

41
Q

Azimuth

A

angle between 0 degrees and 360 degrees measured clockwise from north