Use LEFT and RIGHT arrow keys to navigate between flashcards;
Use UP and DOWN arrow keys to flip the card;
H to show hint;
A reads text to speech;
28 Cards in this Set
- Front
- Back
Text files (.txt, .csv)
|
-Simplest way to store data
-Best way to store attribute data -Highly portable Not good way to store complex gedata |
|
Shape files (.shp)
|
-Best way to store geodata if you want to send one/few files
-Useable by anyone w/ArcGIS, ArcExplorer, etc. Not good for large amounts of data |
|
Keyhole Markup Language files (.KML)
|
-Google Earth Format
-Good way for public dissemination Limited in what you can express, i.e. no network analysis |
|
Layer files (.lyr)
|
-Good for distributing shapefiles that must be viewed with symbology
Only viewable in ArcGIS |
|
ArcMap files (.mxd)
|
-Useful for organizing layers
-Stores symbology along w/map design Not easy to dsitribute .mxd without including all associated layers (better to distribute as PDF) |
|
Coverage files
|
-Enforces topology
-Represent middle point between transition from shapefiles to geodatabases OBSOLETE; DO NOT USE |
|
Geodatabase (.gdb, .mdb)
|
-Best way to store geodata
-Compliant with latest standards of storage -Can enforce topology -Can create joins and queries |
|
Geographic database/Geodatabase
|
Database contains geographic data of a set of objects for particular area
|
|
Database
|
Organized and integrated set of data on particular subject
|
|
Advantages of geodatabases
|
-More accurately represent shape of features
-Many users can edit geographic data simulatenously -ESRI's preferred format -Efficient storage: all layers in one database -Ensures various geodata are compatible -Validates topology, easier to spot/correct errors |
|
Geodatabase structure
|
-Feature class: collection of features sharing same geometry type
-Feature dataset: collection of feature classes (all must have same spatial reference) -Nonspatial table: contains attribute data assoc. w/feature classes |
|
Relational databases
|
Data represented and stored as set of tables
-Objects in table have same set of attributes |
|
Attribute of object: Data types
|
String
Number Date Geometry, etc. |
|
Primary Key
|
One/several columns (attributes) selected that can distinguish one object from others
|
|
Primary key has 2 properties
|
1. Each value in attribute column is unique
2. No null values |
|
Candidate keys
|
Alternatives to primary keys
|
|
Directly loadable data types
|
.dbf
.csv .xls .mdb |
|
Types of geodatabases:
Enterprise geodatabase |
-Multiple users
-Requires host database system (DBMS) |
|
Types of geodatabases:
Personal geodatabase |
-Single user
-Appears as .mdb |
|
Types of geodatabases:
File geodatabase |
Newer format by ESRI
-Preferred, much larger file sizes -Better performance -More efficient storage USE .GDB WHENEVER POSSIBLE |
|
DBMS
|
Database Management System
-Organizes/manipulates data -Stores properties of geographic objects and relationships -Acts as gatekeeper |
|
Benefits of DBMS
|
-Data independence
-Multiple user views (simultaneous viewing) -Centralized control/maintenance of important data |
|
Most common spatial databases?
|
Relational and object-relational
|
|
Data table joins
|
Putting 2 tables together to make 1 table
-Must have same values and data types |
|
Problems with joins
|
-Data in fields not exactly same
-Different data field types |
|
Spatial join
|
Merges rows based on objects' spatial relationships (each row represents a geographic object)
-Based on "shape" not attribute field (overlap/within/contains, etc) |
|
SQL
|
Structured Query Language
-International standard language for manipulating relational databases |
|
Relational operators (8)
|
1. Restrict: reduce rows
2. Project: reduce columns 3. Product: produces all possible combinations 4. Divide: only cells meeting all critera 5. Union: merges rows together 6. Intersect: returns matching rows in both tables 7. Difference: returns rows that do not appear in 2nd table 8. Join: combines rows of two tables based on matching primary keys |