Geography 482/582 GIS Data Management

Geography 482/582 GIS Data Management

Exam 1 Review

Lesson 1 GIS Data Management Technology and Users

1.1What are the course logistics?

1.2 What kinds of information technology are important to GIS?

1.3 What are approaches to spatial data management?

1.4 Why employ user needs assessment for database systems?

1.5 What are some of the basic concepts of Spatial DBMS as per Y&H Figure 2-1?

1.6 What are fundamental approaches to data processing?

Lesson 2 Data Models, Database Models, and Data Modelling

2.1 Why use three realms for representation modeling?

2.2 What is a data model?

2.3 What is a database model?

2.4 What is data (database) modeling?

2.5 What are some example application data models?

Lesson 3 Geodatabase Schema Development

3.1 What are five methods for creating a geodatabase schema?

3.2 Why use schema productivity tools?

3.3 What are four schema productivity tools?

3.4 How are the four schema productivity tools used?

Lesson 4 Geodatabase Models for Reference Systems and ArcHydro

4.1 What are the four components of a geographic coordinate system?

4.2 What are the four ArcHydro feature datasets?

4.3 Why identify features with an HydroID domain that spans all feature classes?

4.4 Why work with multiple drainage scales?

4.5 Why bother designing Hydro Response Units?

4.6 What are the types of time series data?

Lesson 5 Land Records, Census, and Addresses

5.1 Why are cadastre records important?

5.2 What are the US Public Land Survey System (PLSS) and Metes and Bounds cadastral control survey systems?

5.3 What are the elements of a land parcel data model?

5.4 How do tax parcels differ from development parcels?

5.5 What are the main differences between a land multipurpose cadastre and a marine multipurpose cadastre?

5.6 What are the elements of the census feature dataset?

5.7 Why are Census topological rules so important?

5.8 How are street address reference systems and coordinate reference systems similar and different?

Lesson 6 Transportation Data Models

6.1 What transportation data models are suitable for use in urban-regional applications of GIS?

6.2 What are some conceptual database design challenges with regard to transportation databases?

6.3What are some of the different application contexts for transportation databases?

6.4How might we compare and contrast transportation data models?

6.5What are some of the esri approaches to transportation data models?

Lesson 7 XML Schemas

7.1 Why use label tags for XML Schema?

7.2 What are the two components of a workspace document?

7.3 What composes a Record Set Document?

7.4 What composes a Data Changes Document?

7.5 What is a data element inheritance hierarchy?

7.6 What is geometry inheritance?

Lesson 8 Spatial Data Standards, Metadata, and User Training

8.1 What is a spatial data standard and why are spatial data standards important?

8.2 How do we characterize types of standards?

8.3 What spatial data standards does OGC provide?

8.4 Why are metadata important?

8.5 What are three spatial metadata standards, who created them, and how are they used?

8.6 What are some software tools forworking with spatial metadata?

8.7 Why is user training important?

8.8 What are four levels of user training?

8.9 What is training needs assessment and who uses it?

8.10 What are three phases in training needs analysis?