Analytical Methods

Question 1

Contains

Answer 1

Features contain an input polygon

Question 2

Completely Contains

Answer 2

Features must be completely in an input polygon

Question 3

Contains Clementini

Answer 3

Features must be completely in the input polygon but if it’s on the boundary, it will not be selected

Question 4

Within

Answer 4

Features will be selected if completely inside a selecting polygon

Question 5

Completely Within

Answer 5

Features will be selected if completely within selecting polygon (no overlap)

Question 6

With Clementini

Answer 6

Features will be selected and cannot be entirely on the boundary of the feature

Question 7

Are Identical to

Answer 7

Features are identical to input layer

Question 8

Boundary Touches

Answer 8

Features will be selected if they have a boundary that touches selecting features (must be completely inside or outside the polygon)

Question 9

Share a Line Segment With

Answer 9

Features selected if they share a line segment

Question 10

Have Their Center in

Answer 10

Input features will be selected if their center falls within a selecting feature

Question 11

Crossed by the Outline of

Answer 11

Input features will be selected if they are crossed by the outline of a selecting feature

Question 12

Contained by

Answer 12

the same with the “Within”

Question 13

Join

Answer 13

Combine two attribute tables into one using a common key between tables.

Question 14

Merge

Answer 14

Combines multiple input datasets of the same data type into a single new output

Question 15

Append

Answer 15

Combines datasets of same data type into an existing dataset

Question 16

Union

Answer 16

Combines input features with another feature dataset

Question 17

Clip

Answer 17

Extracts input features that overlay the clip features (keep input attributes)

Question 18

Intersect

Answer 18

Extracts features which overlap in all layers to new feature class (join attribute tables)

Question 19

Classification

Answer 19

Equal range, quantiles, standard deviations, and natural breaks

Question 20

Equal range

Answer 20

equal distance between the class breaks

Question 21

Quantile

Answer 21

Equal number of observations in each class

Question 22

Standard Deviations

Answer 22

Class breaks based on distance of standard deviations from the mean

Question 23

Natural Breaks

Answer 23

Class breaks conform to gaps in data distribution

Question 24

Spatial Overlay

Answer 24

Process of superimposing layers of geographic data that cover the same area to study the relationship between them.

Question 25

Overlay

Answer 25

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

Question 26

Vector Overlay Tools

Answer 26

Identity; intersect; symmetrical difference, union, update

Question 27

Identity

Answer 27

Input features, split by overlay features

Question 28

Intersect

Answer 28

Only features common to all input layers

Question 29

Symmetrical Difference

Answer 29

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

Question 30

Union

Answer 30

All input features

Question 31

Update

Answer 31

Input feature geometry replaced by update layer

Question 32

Raster Overlay Tools

Answer 32

Zonal statistics combine, single output map algebra, weighted overlay, and weighted sum.

Question 33

Zonal Statistics

Answer 33

Summarizes values in a raster layer by zone (categories) in another layer; For example, calculate the mean elevation for each vegetation category.

Question 34

Combine

Answer 34

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

Question 35

Single Output Map Algebra

Answer 35

Let you combine multiple raster layer by using an expression you enter; For example, you can add several ranked layers to create an overall ranking.

Question 36

Weighted Overlay

Answer 36

Automates the raster overlay process and let you assign weights to each layer before adding

Question 37

Weighted Sum

Answer 37

Overlays several rasters multiply each by their given weight and sum them together

Question 38

Map Algebra

Answer 38

Various functions performed on cells based on neighboring cells for raster datasets.

Question 39

Local operations

Answer 39

Combine rasters that ovelay each other

Question 40

Global operations

Answer 40

apply a formula to all cells

Question 41

Focal operations

Answer 41

calculates a value based on all neighboring cells

Question 42

Zonal operations

Answer 42

computing a value based on cells in a particular zone

Question 43

Descriptive statistics

Answer 43

The discipline of quantitatively describing the main features of a collection of information (e.g. summarizing a sample to learn about the population)

Question 44

Summary statistics

Answer 44

Used to summarize a set of observations