Lecture 6 Flashcards

1
Q

Geoprocessing tools 5 categories:

A

overlay and proximity analysis
surface analysis
statistical analysis
table analysis
extraction analysis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Overlay analysis

A

involves combining spatial and attribute data from two or more spatial data layers and examining their relationship

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

top 6 tools on the geoprocessing menu

A

Buffer, Clip, Intersect, Union, Merge, Dissolve

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Surface analysis

A

tools that create layers of continuous data such as deriving a slope layer or an aspect layer from a Digital Elevation Model (DEM)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Statistical analysis

A

examine both spatial and non-spatial statistical relationships.utilizing the basic geographic principal that object near each other are more likely to be similar then objects that are far apart

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Table analysis

A

finds answers based on table data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Extraction analysis

A

tools which create smaller datasets from larger ones

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

ERASE

A

Uses a binary input model and is the tool only accepts two layers: the input and the erased feature

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

INTERSECT

A

uses a multiple input model, meaning the tool will find the areas common to all the layers

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

MERGE

A

Merge will create one data set from two, with the output layer containing all the attributes from all of the input layers

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Difference between merge and append

A

one allows you to ‘smooth’ layers together/ creates a new feature class and the other ‘adds features’ to an existing layer/ provides a new feature class with similar fields

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Union

A

combines two or more data sets and compare the relationship between the two, adding fields to the attribute table and splitting geometric features to reflect this relationship. It retains all data from both the bounding and data layers.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Clip

A

known as a “cookie cutter” overlay. Use this tool to cut out a piece of one dataset using one or more of the features in another dataset. Can be used to create a date set for study area or area of interest

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Dissolve

A

used to combine similar features within a data layer. Usually applied based on a specific attribute associated with each feature

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

BUFFER

A

a region that is less than or equal to a specified distance from one or more features.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Vector Buffer

A

may be applied to point, line, or area features and always produces an output set of area features.

17
Q

Buffer vector types

A

simple buffer (overlap dissolved)
Compound buffer (overlap identified)
nested buffer (multiple overlap layering)

18
Q

Buffering on vector lines steps:

A

First, circles are created
Second, are centered at each node or vertex
Third, tangent lines are generated

19
Q

Silvers are

A

a common feature representing the same phenomenon. This polygons cause problems because there is an entry in the attribute table for each polygon.

20
Q

Reducing slivers by

A

identifies all common boundaries across different layers. replacing the less accurate representations and substituting with the highest coordinate accuracy

21
Q

Proximity analysis

A

designed to examine spatial relationships such as the distance between features of interest