Transcript Lecture 01 - Hunter College, Department of Geography

GTECH 201
Introduction to
Mapping Sciences
Contact Information
Instructors: Jochen Albrecht (and Tom Walter)
Office: Hunter N1030
Office hours: We, Th 2-3 PM
E-Mail: [email protected]
Phone: (212) 772-5221
TA: Jing Li
E-Mail: [email protected]
Course Overview
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Spatial literacy
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Basic principles
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statistics
GIS
cartography
geographic information science (GIScience)
Texts
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Required: none
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Recommended
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McGrew, J and Charles Monroe 2000 (2nd
edition). An introduction to statistical
problem solving in geography. McGraw-Hill.
O’Sullivan, David and David Unwin 2002.
Geographic Information Analysis. Wiley.
Walford, Nigel, 1995. Geographical Data
Analysis. Wiley.
Policies
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Attendance
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Plagiarism
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Special accommodations
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Lab policies
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Assignments
Criteria for Evaluation
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Participation
10%
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Midterm exam
15%
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Final exam
25%
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Lab projects
50%
Schedule
Class # Date
1
01/27
2
01/31
L1
02/02
3
02/03
L2
02/07
L3
02/09
L4
02/10
4
02/14
5
02/16
L5
02/17
7
02/23
8
02/24
L6
02/28
9
03/02
10
03/03
11
03/07
12
03/09
L7
03/10
13
03/14
L8
03/16
14
03/17
L9
03/21
Topic
Introduction – the nature of data
The computing environment in the geography department
Lab 1: Computing in the geography department
Data measurements; data errors
Lab 2: introduction to Unix
Lab 3: how to write web pages
Lab 4: introduction to Excel
The nature of spatial data
Storing spatial data
Lab 5: introduction to ArcGIS
Projections
Surveying and digitizing
Lab 6: digitizing data for the vector model
GPS
Remote sensing
Census data
Mapping census data and simple spatial query
Lab 7: mapping census data
Midterm Exam
Lab 8: introduction to R
Sampling and questionnaires
Lab 9: questionnaire design
Schedule
Class #
15
16
17
L10
18
19
L11
20
21
L12
22
23
L13
24
25
L14
26
27
L15
28
05/19 -
Date
03/23
03/30
03/31
04/04
04/06
04/07
04/11
04/13
04/14
04/18
04/20
04/21
05/02
05/04
05/05
05/09
05/11
05/12
05/16
05/18
05/22
Topic
Probability and probability distributions
Sampling and sampling design
Point and interval estimation
Lab 10: probability distributions
Hypothesis testing
Analysis of variance
Lab 11: hypothesis testing
Chi square; goodness of fit
Correlation and regression
Lab 12: confidence measures
Experimental design and multivariate analysis
Qualitative approaches
Lab 13: ANOVA
Maps as a means of communication
Anatomy of a thematic map
Lab 14: designing a thematic map
Design of choropleth, dot and proportional symbol maps
Design of isarithmic and flow maps
Lab 15: cartographic studio
Review and where to from here
Final (online) Exam
The Nature of Data