Subject: Computer Cartography (Geog 3123)
Instructor: Dr. M. M. Yagoub
PM Date: Tuesday 16/04/2002 Venue: Building 49/8
Time: 7-8
Student's Name:_____________________________ Student's ID:_____________
Answer all questions
Total marks = 25
Section
A: Circle the correct answer
1. A map in which data collection units are shaded to represent different magnitude of variables is known as:
a) thematic b) choropleth c) shaded
2. Information that is not the major theme of a map is known as:
a) general b) specific c) base
3. A feature that has no definite boundary is known as:
a) vector b) continuous c) discrete
4. In the visible spectrum, the color with larger wave length is:
a) Red b) Green c) Blue
5. A map that displays two or more attributes simultaneously is known as:
a) uni-varaite
b) multi-varaite
c) bi-variate
Section
B: Fill the blanks
1. Printers are
based on using ______________ colors, which are _________ and
________ and__________
2. The problem with computer-based maps is the
fact that, colors produced at one PC may not look typical at some other
PCs. This may be due to __________________ ___________
__________________________________________________
3. Two of the main models used for specifying
color are:
1._______________________________ 2.
________________________
1._______________________________2._________________________
5. Resolution of CRT is measure in
___________while of printer in ____________
1. Define visual variables, illustrate by figures?
2. List the main steps for creating a map, illustrate by figures?
3. List the main types of mapping
techniques with respect to "symbols", illustrate by figures?
4. Given
the coordinates (x, y): (2, 12), (4, 10), (6, 8), (7, 6), (9, 2)
Calculate the mean center, standard deviation for each (x and y) and plot a rough scatter plot showing the relationship between the variables (x and y). Is there any correlation between the two variables (is it positive , negative, or none)?
5. Using the equal interval, quantiles, maximum breaks, natural break, and optimal classification methods of data, classify the following numbers into suitable number of classes.
The numbers are: 2, 4, 7, 10, 12, 15, 20, 24, 30, 60, 100, 115, 280.