Topic 07

Question 1

vector data model

Answer 1

geographic features (entities) represented by poitns, lines, and polygons

attribute values are assigned to each entity

Question 2

simple features

Answer 2

are stored as spaghetti files

simple lists of feature coorindates that may overlap and duplicate themselves

Question 3

topology

Answer 3

an extension of geomtry that deals with spatial relationships

connectedness, adjacency, containment

qualitative

stored alongside geometry in a geographic database

Question 4

topological features

Answer 4

geometric features + topology = topological features

plays an important role in data validation, editing, and query optimization

Question 5

data validation

Answer 5

establishing topological integrity

Question 6

editing productivity

Answer 6

simplifies data editing procedures

Question 7

optimized queries

Answer 7

pre-computing and storing information makes future queries more efficient

Question 8

topologically structured polygon datasets

Answer 8

hierarchichal

object oriented approach

map somposed of polygons

polyline coordinates stored in the polyline coordinate list

Question 9

vector features classes (two types)

Answer 9

stores features with same geometric type

1. simple features
2. topological features

Question 10

simple geometry: shapefiles

Answer 10

vector format

not really a file (is several files)

does not implement topology structure

different indexes built into shapefile for geometry and attributes( .shp, .shx, .prj)

Question 11

vector datasets in a GDB

Answer 11

vector datasets stored in a GDB are feature classes

vector features are topologically enabled

higher data integrity

Question 12

rational database

Answer 12

efficient/effective storage and retrival of data

Question 13

personal geodatabases

Answer 13

essentially a version of the microsoft access RDBMS engine

file size limit

single editor environment

meant for small projects and not workgroups

Question 14

file geodatabases

Answer 14

more efficient alternative to personal geodatabases designed to perform better and reduce limitations

proprietary RDBMS engine

supports concurrent ediotrs, but must be working on different datasets within the geodatabase

Question 15

multi-user (enterprise) geodatabses

Answer 15

uses a middle-ware application that enables existing RDBMS

there are several different types that support increasing capacity and users

no size limit

supports multi-editing environments, versioning, and replication

suitable for larger workgourps and enterprise

Question 16

stand alone tables (non spatial datasets)

Answer 16

two dimensional array of rows and columns containing feature attributes

no geometry component

can have behaviour rules

Question 17

feature classes

Answer 17

tables that store geographic entities

three basic feature classes

points lines and polygons

Question 18

storing tables and feature classes

Answer 18

can be stoed in one of two ways

stand-alone at the geodatabase level

collected together inside a container called a feature dataset

Question 19

feature datasets

Answer 19

are ccontainers for feature classes that have shared topology

Question 20

feature datasets and topology

Answer 20

used to manage the geometric relationships among features

two types

geodatabase topology and map topology

Question 21

topological relationships

Answer 21

constrain hwo features share geomtry

define and enforce data integrity rules

support topological relationship queries

Question 22

relationships classes

Answer 22

relationships classes link tables and feature tables together to form permanent relationships

they become part of the geodatabase