Final Review Flashcards

1
Q

Attribute vs. standalone table

A

Attribute tables contain the nonspatial information about a geographic feature.

A stand-alone table is a table of attributes that do not have associated geographic features.

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2
Q

1.Name column is a:
2.and it’s associated value is:

A

1.Field or attribute
2.Record

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3
Q

Field types for: Name, Salary, Job Type, Age

A

Text, long integer, text, short integer

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4
Q

Data types for: Name, Salary, Job Type, Age

A

Nominal, ratio, categorical, ratio

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5
Q

Similarities between Join and Relate

A

They are both temporary (easily removable) relationships which combine tables based on similarities.

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6
Q

Differences between join and relate

A

Cardinality: Join is one to one/many, relate is many/one to many

Table created: Join is a unified table, relate is a linked table (selections on one affect the other)

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7
Q

Target vs Source table

A

Target is usually on left, having join/relate performed on it, Source is opposite.

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8
Q

One record on the right selects four on the left, what is the cardinality?

A

Many to one, join

Target to source

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9
Q

Common field for join/relate is

A

A shared field between two tables, abbreviations/different spellings of the same field can still work (State Name Vs. States). Cannot use Shape, look for upper right asterisk maybe?

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10
Q

What is SQL

A

Structure Query Language, used for selections. It is case sensitive.

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11
Q

Spatial query

A

Selects features based on spatial relationship between target and source layer

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12
Q

Spatial relationships between features

A

Intersect, contain, proximity (Select by feature)

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13
Q

Most important component of spatial queries

A

Differentiating target and source layer and determining their relationship

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14
Q

Select all counties a highway passes through?

A

Intersect, target layer is counties and source is highway.

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15
Q

All buildings within HB county and all capitals within 500 miles of nuclear cities. Target/source as well.

A

Contain, target is building source is HB county
Proximity, target is capitals and source is nuclear cities

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16
Q

Intersect vs Union

A

Intersect can combine any vector feature with any other vector feature and only includes overlapping areas. Union combines polygons together as they are without excluding any area.

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17
Q

Erase vs Clip

A

Erase removes all overlapping areas involved, clip removes all but the overlapping areas involved.

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18
Q

Append vs Merge vs Dissolve

A

Append attaches features into an existing feature class without creating a new feature class. Merge allows features with different attributes to be combined to create a new feature class. Dissolve combines all bordering features with each other to make larger, simpler features without boundaries.

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19
Q

What is editing?

A

Create new features or shapefiles from scratch based on raster sources and remote imagery or tweaking existing features/shapefiles.

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20
Q

Topology and why it is important for vector features

A

The spatial relation between features which allows for use of specific tools and accuracy in vector data.

21
Q

Spatial relationships in same layer

A

Connectivity, adjacency and intersection (digitization).

22
Q

4 Common topological errors

A

Dangling (undershooting or overshooting the intersection point between two lines), gaps between polygons and overlapping polygons.

23
Q

How to minimize topographical errors

A

Turn on map topography and snapping.

24
Q

Snapping

A

Avoid dangles between lines and polygons, set minimum distance for snapping using snapping tolerance.

25
Q

Snap types

A

Point, end, edge and vertex.

26
Q

How to create adjacent polygons simply

A

Auto complete or split polygons

27
Q

Digitization steps

A

Create a feature class, set its geometry, set its datum to project’s datum, turn on edit and start tracing features.

28
Q

What tool to use for creating curved segments

A

ArcSegment

29
Q

Editing tips

A

Save edits every 5 minutes, turn on layer being edited, use data instead of layout view.

30
Q

What is Geocoding?

A

Pinpointing an address on a map using xy values by comparing layers to be geocoded with a reference layer/address locator.

31
Q

How does google maps calculate a route in steps

A
  1. Search address 2. Pinpoint address on map (geocoding) 3. Uses network analysis to find shortest route 4. Displays results

(Uses geocoding and network analysis)

32
Q

The geocoding process in 4 steps

A
  1. Start with address to be geocoded 2. Have reference layer/address locator 3. Use Geocode tool to match address 4. Inspect values, good is 80-100, tied is 60-80.
33
Q

Arcgis World geocoding services vs creating your own locator

A

World geocoding services are fast and ready to use, apply to 106 countries, require credits and an internet connection. Making your own locator is free, no internet required and able to be used anywhere, but much more complex and time consuming.

34
Q

Address matching process in steps

A
  1. Parses address to be geocoded into several components 2. Standardizes abbreviations such as E. And East 3. Compares each component with the reference layer 4. Evaluates closeness of each component and assigns score based on match with reference layer 5. Assigns highest value component as the final point on map.
35
Q

Vector Data

A

Points, lines, and Polygons, include topology.
Advantages: 1) compact data structure, 2) topology, perform the network analysis 3) used in discrete features, points, polylines, polygons, preserve the spatial accuracy of these discrete features.
Disadvantages: 1) it is a complex data source; 2) for the topology, we have to consider the connectivity between the neighboring polygons; 3) is not efficient to represent the continuous feature (elevation)

36
Q

Raster data

A

(cells = grids, cell size= spatial resolution, JPEG, TIFF, PNG files are all raster data) (Also smaller cell size means higher spatial resolution) No topology, larger sizes like 2GB.

37
Q

What is NoData? Is it zero?

A

NoData is a cell which doesn’t have any data, different from zero and will result in any multiplications yielding NoData. Not included in analysis.

38
Q

As cell size increases…

A

Spatial resolution decreases, details decrease, processing speed increases and file size decreases.

39
Q

Maximum and minimum of inputs calculation

A

Max will use the largest cell size involved in a calc, min will take the smallest.

40
Q

Union of inputs vs intersection of inputs

A

Just like normal union/intersection but with raster.

41
Q

Local

A

Cell by cell basis

42
Q

Reclassify

A

Converts raster cell values into newly assigned values based on defined conditions.

43
Q

Boolean

A

Like reclassify but just 1 or 0

44
Q

Boolean and vs or

A

And requires two or more values to be true (1), to give a final true value to a cell. Or independently displays both values if they are true.

45
Q

Focal

A

Neighboring cells involved. (Block stats, slope, aspect, viewshed)

46
Q

Zonal

A

Larger collections of cells, zones can be entirely disconnected from one another. (Mean, median, majority)

47
Q

Global

A

Involves all cells in a raster. (Min, max, sd)

48
Q

Euclidean distance vs. buffer analysis

A

Both measure proximity to a feature, but buffer is for vector, Euclid is for raster.

49
Q

Range

A

Max - min