Attribute data describes the characteristics of spatial features:
Attribute data is managed by relational database. It is a collection of tables (relations) that are defined for each class of objects describing the same subject
There are two types of attribute tables in ArcGIS:
The connection between tables is made though a key (i.e. an ID), which is a common field whose values can uniquely identify a record in a table. They cannot be linked through the FID.
Types of relationship between tabular data
There are 4 measurement levels associated with attribute data:
Level | Summary | Possible Operations | Statistics | Examples |
---|---|---|---|---|
Nominal | Categories only. Data cannot be arranged into an ordering scheme | =, | Counting : mode, amplitude | Name, State, gender, color |
Ordinal | Categories are ordered, but differences can’t be found or are meaningless | Median, quartile | Type of car (compact, mid- size, full-size) | |
Interval | Differences are meaningful, but there is no natural zero starting point and ratios are meaningless | Mean, variance, correlation, etc. | Temperature | |
Ratio | There is a natural zerostarting point and ratios are meaningful | Mean, variance, correlation, etc. | Computing distance |
Attribute analysis is done by spatial queries which search for and select a subset of features and table records. All query expressions in ArcGIS use SQL to formulate these search specifications. The purpose of this is to:
Basic structure in SQL (i.e. syntax) is: SELECT WHERE
EXAMPLE: Select* (=all columns) From ContaminatedSites Where “Toxicity” > 8