Getting Started with the Geodatabase Flashcards
What is used as file structure to primarily to store, query, and manipulate spatial data) is a powerful data model for storing and managing your GIS data in one place. You can import different datasets from various sources and use them in your GIS analysis.
The geodatabase
What type of different data sources can be imported into a geodatabase?
vector data, raster data, tabular data, and attachments.
What are some Geodatabase advantages?
Centralized repository, Scalable data model, Increased data integrity, & Support for imagery
What are two types of geodatabases?
File and Enterprise Geodatabases
What is a collection of GIS datasets and is stored in a file system folder. They work across operating systems and can store individual datasets up to 1 terabyte (TB) in size by default. The size limit can be increased with keywords to 256 TB. They support multiple people editing different feature classes or tables at the same time.
file geodatabase
What supports versioning and replication. They require a database management system (DBMS), such as DB2, Informix, Microsoft SQL Server, Oracle, or PostgreSQL.
Typically found in larger organizations, they support multiple users viewing and editing the GIS database at the same time. In fact, they allow for unlimited editors and database size.
Enterprise geodatabases
At its most basic level, what is a container that stores spatial and attribute data?
the geodatabase
The main purpose is to store spatially related feature classes in a common dataset for building a topology, a network dataset, a terrain dataset, or a geometric network is what?
Feature dataset
Which types of feature classes have both a Shape field and Shape_Length field?
Polygon and line feature classes
Geodatabases have a comprehensive information model for representing and managing geographic information. What is the creation workflow?
- Evaluate data
- Create geodatabase
- Organize data
- Add data
What data model within a geodatabase that is used to store, manage, view, and query large collections of raster data?
Mosaic dataset
What is useful for the following actions:
1) Managing, querying, and visualizing large collections of raster data, including multidimensional, overlapping, and temporal data.
2) Controlling the display or the ordering of rasters.
3) Performing on-the-fly processing, which occurs as the rasters are accessed; the source pixels are not altered or converted.
Mosaic datasets
Recommendations with mosaic dataset
1) Use a mosaic dataset to provide a single comprehensive system to organize your raster data. 2) Ensure that your raster datasets are readable before managing them with a mosaic dataset. 3) Consider preprocessing your data (build pyramids, calculate statistics, and so on) before managing it with a mosaic dataset. 4) Use the WGS 1984 Web Mercator Auxiliary projection when you create mosaic datasets for use on the web.
T/F: Images loaded into a mosaic dataset must not overlap or touch.
False
What are some of the objects that you can store in a file geodatabase?
Several objects can be stored in a file geodatabase: feature classes, feature datasets, nonspatial attribute tables, and mosaic datasets.