Final Review Flashcards
Attribute vs. standalone table
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.
1.Name column is a:
2.and it’s associated value is:
1.Field or attribute
2.Record
Field types for: Name, Salary, Job Type, Age
Text, long integer, text, short integer
Data types for: Name, Salary, Job Type, Age
Nominal, ratio, categorical, ratio
Similarities between Join and Relate
They are both temporary (easily removable) relationships which combine tables based on similarities.
Differences between join and relate
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)
Target vs Source table
Target is usually on left, having join/relate performed on it, Source is opposite.
One record on the right selects four on the left, what is the cardinality?
Many to one, join
Target to source
Common field for join/relate is
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?
What is SQL
Structure Query Language, used for selections. It is case sensitive.
Spatial query
Selects features based on spatial relationship between target and source layer
Spatial relationships between features
Intersect, contain, proximity (Select by feature)
Most important component of spatial queries
Differentiating target and source layer and determining their relationship
Select all counties a highway passes through?
Intersect, target layer is counties and source is highway.
All buildings within HB county and all capitals within 500 miles of nuclear cities. Target/source as well.
Contain, target is building source is HB county
Proximity, target is capitals and source is nuclear cities
Intersect vs Union
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.
Erase vs Clip
Erase removes all overlapping areas involved, clip removes all but the overlapping areas involved.
Append vs Merge vs Dissolve
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.
What is editing?
Create new features or shapefiles from scratch based on raster sources and remote imagery or tweaking existing features/shapefiles.