Course Number 0349-4842-01
Course Name Research Methods in Information Systems and Planning
Academic Unit The Raymond and Beverly Sackler Faculty of Exact Sciences -
Geography and the Human Environment
Lecturer Prof. Itzhak BenensonContact
Contact Email:
Office HoursMonday 12:00 - 11:00
Building: Yad Avner - Geography , Room: 222
Mode of Instruction Lecture and Exercise
Credit Hours 2
Semester 2020/1
Day Tue
Hours 18:00-20:00
Course is taught in English
Syllabus Not Found

Short Course Description

Advanced Quantitative Methods in Geography

Prof. Itzhak Benenson

Course description: This course aims at learning and practicing advances statistical methods of special analysis. The methods are applied to exemplar problem of social and physical geography.
The course meetings include lectures and class/home exercises that demand the knowledge of SPSS and ArcGIS software, see prerequisite courses.
Each part of the course is accompanied by the class/home exercises.
The course score is based on the exercises scores.

Attendance: compulsory

SPSS, Advanced GIS, Research methods (undergraduate course)

Exercise are the part of the course. Exercises are published once in two weeks, total 6 exercises. Exercise report should be submitted in two weeks after the exercise is published.

Couse content:
- Review of the basic notions of statistics and statistical inference
Analysis of multi-dimensional data
- Multiple regression, including forward/stepwise/backward regression
- Non-linear regression
Dimensionality reduction
- Principal component analysis and Factor analysis
- Cluster analysis
- Variogram and cross-variogram
- Kriging

1. de Smith, M.J., M.F. Goodchild, P.A. Longley, 2010 Geospatial Analysis , Troubador Publ., UK, see for the on-line version and examples
2. Krivoruchko, K, 2011, Spatial Statistical Data Analysis for GIS Users, ESRI (digital edition), available in the Geography Dept library, includes data layers

Full Syllabus
Course Requirements


Students may be required to submit additional assignments
Full requirements as stated in full syllabus

PrerequisiteStatistics (03491817) +Quantitative research met (03492409)

The specific prerequisites of the course,
according to the study program, appears on the program page of the handbook

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