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HU Credits:
2
Degree/Cycle:
2nd degree (Master)
Responsible Department:
Geography
Semester:
2nd Semester
Teaching Languages:
Hebrew
Campus:
Mt. Scopus
Course/Module Coordinator:
Shaul Tsionit
Coordinator Office Hours:
Teaching Staff:
Dr. Shaul Tsionit
Course/Module description:
The course deals with the basic principals of the analysis of spatio-statistic data. Two main subjects are being discussed: Geo-statistics and Spatial-econometrics.
Course/Module aims:
Learning outcomes - On successful completion of this module, students should be able to:
1.To understand outcomes of spatial-statistics analysis.
2.To analyze spatial-statistics data by software.
3.To critically evaluate spatial-statistics analysis.
Attendance requirements(%):
Teaching arrangement and method of instruction:
Course/Module Content:
Course topics:
1.Review: Descriptive statistics, Estimation and Statistical tests, Linear Regression.
2.Background: Space and Time, Scale problems, Bivariate Normal Distiribution, Principal components analysis.
3.Geostatistics: Central location indecies, dispersion and differentiation indecies, correlation indecies.
4.Spatial-econometrics: Autoregressive model, Error model, Smoothing methods.
Required Reading:
ספרות עזר
א קלרמן, (1986), מונו-גיאוגרפיה – פרקים בסטטיסטיקה של נתונים מרחביים, אוניברסיטת חיפה.
Anselin L, (2005),Spatial Data with GeoDa: A Workbook,
http://geodacenter.asu.edu/system/files/geodaworkbook.pdf
Burt J E & Barber G M, (1996), Elementary Statistics for Geographers, Guilford Press, New-York.
S. Gibbons and H.G. Overman, "Mostely Pointless Spatial Econometrics?", Discussion paper 61, Spatial Economics Research Centre (SERC), London School of Economics, 2010.
J.P. LeSage, The Theory and Practice of Spatial Econometrics, University of Toledo, 1999.
De Smith M, Goodchild M F, and Longley P A, (2007), Geospatial Analysis: A Comprehensive Guide to Principles, Techniques and Software Tools, Winchelsea Press, Leicester UK,
http://www.spatialanalysisonline.com/
Isaaks E H and Srivastava R M, (1989), An Introduction to Applied Geostatistics, Oxford University Press, New York.
Sall J & Lehman A & Creighton, L, (2001), JMP Start Statistics, SAS Institute Inc, Duxbury, Canada.
Exploring
Additional Reading Material:
Anselin L, (2005),Spatial Data with GeoDa: A Workbook,
http://geodacenter.asu.edu/system/files/geodaworkbook.pdf
Burt J E & Barber G M, (1996), Elementary Statistics for Geographers, Guilford Press, New-York.
De Smith M, Goodchild M F, and Longley P A, (2007), Geospatial Analysis: A Comprehensive Guide to Principles, Techniques and Software Tools, Winchelsea Press, Leicester UK,
http://www.spatialanalysisonline.com/
Isaaks E H and Srivastava R M, (1989), An Introduction to Applied Geostatistics, Oxford University Press, New York.
Sall J & Lehman A & Creighton, L, (2001), JMP Start Statistics, SAS Institute Inc, Duxbury, Canada.
Exploring
Course/Module evaluation:
End of year written/oral examination 100 %
Presentation 0 %
Participation in Tutorials 0 %
Project work 0 %
Assignments 0 %
Reports 0 %
Research project 0 %
Quizzes 0 %
Other 0 %
Additional information:
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