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GTECH 201

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: jochen@hunter.cuny.edu Phone: (212) 772-5221 TA: Jing Li E-Mail: JLi5@gc.cuny.edu. Course Overview.

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GTECH 201

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  1. GTECH 201 Introduction toMapping Sciences

  2. Contact Information Instructors: Jochen Albrecht (and Tom Walter) Office: Hunter N1030 Office hours: We, Th 2-3 PM E-Mail: jochen@hunter.cuny.edu Phone: (212) 772-5221 TA: Jing Li E-Mail: JLi5@gc.cuny.edu

  3. Course Overview • Spatial literacy • Basic principles • statistics • GIS • cartography • geographic information science (GIScience)

  4. Texts • Required: none • Recommended • 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.

  5. Policies • Attendance • Plagiarism • Special accommodations • Lab policies • Assignments

  6. Criteria for Evaluation • Participation 10% • Midterm exam 15% • Final exam 25% • Lab projects 50%

  7. Schedule Class # Date Topic 1 01/27 Introduction – the nature of data 2 01/31 The computing environment in the geography department L1 02/02 Lab 1: Computing in the geography department 3 02/03 Data measurements; data errors L2 02/07 Lab 2: introduction to Unix L3 02/09 Lab 3: how to write web pages L4 02/10 Lab 4: introduction to Excel 4 02/14 The nature of spatial data 5 02/16 Storing spatial data L5 02/17 Lab 5: introduction to ArcGIS 7 02/23 Projections 8 02/24 Surveying and digitizing L6 02/28 Lab 6: digitizing data for the vector model 9 03/02 GPS 10 03/03 Remote sensing 11 03/07 Census data 12 03/09 Mapping census data and simple spatial query L7 03/10 Lab 7: mapping census data 13 03/14 Midterm Exam L8 03/16 Lab 8: introduction to R 14 03/17 Sampling and questionnaires L9 03/21 Lab 9: questionnaire design

  8. Schedule Class # Date Topic 15 03/23 Probability and probability distributions 16 03/30 Sampling and sampling design 17 03/31 Point and interval estimation L10 04/04 Lab 10: probability distributions 18 04/06 Hypothesis testing 19 04/07 Analysis of variance L11 04/11 Lab 11: hypothesis testing 20 04/13 Chi square; goodness of fit 21 04/14 Correlation and regression L12 04/18 Lab 12: confidence measures 22 04/20 Experimental design and multivariate analysis 23 04/21 Qualitative approaches L13 05/02 Lab 13: ANOVA 24 05/04 Maps as a means of communication 25 05/05 Anatomy of a thematic map L14 05/09 Lab 14: designing a thematic map 26 05/11 Design of choropleth, dot and proportional symbol maps 27 05/12 Design of isarithmic and flow maps L15 05/16 Lab 15: cartographic studio 28 05/18 Review and where to from here 05/19 - 05/22 Final (online) Exam

  9. The Nature of Data

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