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Test your basic knowledge |
GIS: Geographic Information Systems
Start Test
Study First
Subject
:
it-skills
Instructions:
Answer 50 questions in 15 minutes.
If you are not ready to take this test, you can
study here
.
Match each statement with the correct term.
Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.
This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. LN 1. L - Level Surfaces. 2. N - NAVD88.
Compass & human analysis
Vertical frame
Join
Grasslands
2. A data classification method that divides a set of attribute values into groups that contain an equal range of values
Abstraction CLD
VRQ
LandSAT TM Bands
Equal Interval
3. Understand spatial relations between landmarks>shortcuts.
Datum
Arc-node topology
Spectral Resolution
Survey knowledge
4. A line segment between 2 nodes -1 of which is a start node & the other an end node.
Simplification
Arcs
Spatial Resolution
Natural Breaks
5. The range of wavelengths sampled by a remote sensor.
Thematic Maps
Spectral Resolution
Mash up
Compass & human analysis
6. Application Programming Interfaces (increases access like my maps on google).
Authority
API
Geotagging
Conformal Maps
7. 3 ______ attributes: 1. Values. 2. Relations. 3. Quality.
Primary Color
Legend
Primary key
VRQ
8. The 4 elements or ______: 1. Cell Value - each cell carries a value. 2. Cell size - this determines the resolution. 3. Raster bands - Can have single or multiple bands. 4. Spatial Reference - Raster data must have spatial reference.
Spatial analysis
Objects
Neogeography
Raster Data Model
9. Assigning location information to text & discourse.
Equal Interval
LandSAT TM Bands
Neogeography
Geoparsing
10. The nature of relationships & connectivity between them.
Geoparsing
LandSAT TM Bands
Topology
Simplification
11. Identify unique points - patterns or features in space.
Selection & Elimination
GPS
Map Projection
Landmark knowledge
12. Real Things (trees - forests - cities etc).
Spectral Resolution
Raw data
Vector data models
Entities
13. The 4 types of ___________:SADD. 1. S - Shape: Conformal. 2. A - Area: Variant. 3. D - Direction: Preserved. 4. D - Distance: Variant.
Selection & Elimination
Raw data
Navigational Maps
Polar Stereographic Projections
14. 80 % of all information contain _________
Data models
Map Projection
DEM
Location information
15. 1. E - Ellipsoid dimensions. 2. D - Datum origin. 3. A - Angular alignment.
Horizontal frame EDA
Data Modelling
Simplification
Selection & Elimination
16. Title - legend or key - grid system - distance scale - direction and compass rose
Navigational Maps
Vertical frame
Simplification
Parts of Map
17. Triangulated Irregular Network.
TIN
Vector Data Forms
Azimuthal Maps
Intersect
18. Description by name: ex London
Discrete Variables
RF
Nominal Location
Spatial Resolution
19. Preserve Direction
Remote Sensing
Thematic Maps
Geocoding
Azimuthal Maps
20. Precision of a measurement with respect to time
WGS84
DEM
Temporal Resolution
Survey knowledge
21. A reference system (geographic coordinates)
Attribute Tabl
Multi-scalar
Absolute Location
Area definition
22. The acquisition of data about Earth's surface from a satellite orbiting the planet or other long-distance methods.
Remote Sensing
World
Temporal Resolution
Data models
23. Regulary spaced sample of points representing a surface.
Landmark knowledge
Lattice Model
Thematic Maps
Raw data
24. User generated content (UGC). Volunteered geog. info (VGI). Professional vs amateur. Neogeography vs GIS.
Geocoding
Raw data
Authority
Vertical frame
25. GIS is not a ______
7.5' Map
Discrete Variables
Map
Intersect
26. The study of place names - origins - history & meanings.
Toponymy
TIN Topology Tables
WGS84
Raster
27. Map in which some thematic mapping variable is substituted for area (like a graph in a map)
Cartogram
Vertical frame
TIN Topology Tables
Raster Data Model
28. The 5 components of a TIN: NETHT - 1. Nodes 2. Edges 3. Triangles 4. ___ 5. Topology.
Parts of Map
Abstraction
Hull
Relational DBMS
29. Connect & travel between landmarks by moving thru space.
Relational DBMS
Geoparsing
Route knowledge
Norths
30. Townships were six miles square - and were subdivided into 36 sections - each section consisting of one square mile. One section of each township was set aside to support public education - and the remaining sections were to be sold at public auction
7.5' Map
Subsystems
Data Modelling
Land Ordinance
31. The reverse of each other.
Horizontal frame EDA
Conformal Map Projections
Geoparsing
Selection & Elimination
32. A tabular file containing rows and columns; descriptive attributes about some object such as a geographic feature are contained in each row
Intersect
Land Ordinance
Attribute Tabl
Route knowledge
33. Classes based on natural groupings through examination of histogram (good: minimizes differences bad: data range uneven)
Abstraction
DEM
Natural Breaks
Grasslands
34. Deliver location / topographic information.
Arc-node topology
Multi-scalar
Objects
Reference maps
35. 7 Spatial Res: 30m Temporal Res: 16 day Swath Width: 183km
Dot Density Map
LandSAT TM Bands
Vector data models
Join
36. _________ of the Real World: (S&E - S&S - G&A) 1. Selection & Elimination. 2. Simplification & Smoothing. 3. Generalization & Aggregation.
RF
Abstraction
Route knowledge
MODIS Bands
37. Points - Polygons - Lines
Conformal Maps
Vector Data Forms
Survey knowledge
Parts of Map
38. An assignment of geographic coordinates to locations.
Vector data models
Conformal Map Projections
Verify Query
Geocoding
39. Smoothing & Shape abstraction.
Norths
Reference Maps
Discrete Variables
Simplification
40. Essentials of DBMS: Each record has a ________
Nominal Location
Unique identifier
Intersect
Continuous Variables
41. People creating their own maps - on their own terms by combining elements of an existing toolset.
TIN Topology Tables
Neogeography
Bands
Land Ordinance
42. Blue - Green - Red - NIR....
Bands
Relative Location
Relational DBMS
LandSAT TM Bands
43. Relative to another known feature
Raster Data Model
Equal Area Projections
NODES
Relative Location
44. Data Modelling - Turning entities into complex objects (geometry - quality).
Mash up
GIS (Geographic Information Systems)
Verify Query
MODIS Bands
45. Converts what entities into objects in the computer 1. Geometry (points - lines - polygons). 2. Measurement of attributes. 3. Accuracy &/or error.
LandSAT TM Bands
Intersect
Norths
Data Modelling
46. Explanatory list of symbols on a map
Vector Data Forms
TIN Topology Tables
Legend
Continuous Variables
47. Geographic Coordinate System.
Relational DBMS
Abstraction CLD
Lattice Model
GCS
48. 3 different types of ________ - content & services ICS I - Infrastructure (Hardware & Sensors). C - Content (sensors - APIs - UGC & VGI). S - Standards (or lack thereof): access - authority.
WGS84
Global network of data
Area definition
Data Classification
49. Uses coordinates (X -Y) to represent spatial features. Scale matters involve what Polygons<>points. Polygons<>lines.
Vector data models
Map Projection
Equidistant Map Projections
Entities
50. Can not be made from other colors
Different databases
7.5' Map
Conformal Map Projections
Primary Color