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Root number
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472466 |
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Semester
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HS2023 |
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Type of course
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Lecture |
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Allocation to subject
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Economics |
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Type of exam
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not defined |
| Title |
Spatial methods for economists using Python |
| Description |
Lecturer: Prof. Dr. Olivier Schöni
In the last decade, the use of spatial data in empirical analyses has spread to a variety of economic fields, including urban and real estate economics, development and environmental economics, labor and public economics, economic history, and trade. The aim of the course is to provide students and researchers with an effective and systematic workflow allowing them to extract and structure information provided by spatial data. To this end, the course will primarily focus on the automation of tasks involving spatial data using Python and ArcGIS. Among others, these tasks include importing different formats of spatial data, projecting spatial data to a common reference system, defining a spatial structure, selecting areas according to specific rules, merging data according to their spatial relationship, computing spatial statistics, and exporting the results. Additionally, the course will show how to integrate these tasks into the workflow of standard statistical software, such as R and Stata. The programming part of the lecture is complemented with a discussion of papers published in leading economic journals that exploit spatial data in their econometric analyses.
Course schedule:
August 28 until September 1, 2023, A322 PC Pool, UniS
- 28.8: 09h00-12h30
- 28.8: 13h15-17h00
- 29.8: 09h00-12h15
- 30.8: 09h00-12h15
- 31.8: 09h00-12h15
- 01.9: 09h00-12h15
Project submission deadline: 02.10.2023
For participation please register in KSL (open from 20.06. - 15.08.2023) |
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ILIAS-Link (Learning resource for course)
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Registrations are transmitted from CTS to ILIAS (no admission in ILIAS possible).
ILIAS
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Link to another web site
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| Lecturers |
Prof. Dr.
Olivier Schöni, Department of Economics ✉
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ECTS
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3 |
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Recognition as optional course possible
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No |
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Grading
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1 to 6 |
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| Dates |
Monday 28/8/2023 09:00-12:30
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Monday 28/8/2023 13:15-17:00
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Tuesday 29/8/2023 09:00-12:15
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Wednesday 30/8/2023 09:00-12:15
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Thursday 31/8/2023 09:00-12:15
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Friday 1/9/2023 09:00-12:15
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Monday 2/10/2023 00:15-23:55
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Rooms
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| External rooms |
A322, PC Pool, UniS
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
User:
Öffentlicher Bereich
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