- Docente: Bruno Conte Leite
- Crediti formativi: 3
- SSD: SECS-P/01
- Lingua di insegnamento: Inglese
- Modalità didattica: Convenzionale - Lezioni in presenza
- Campus: Bologna
- Corso: Laurea Magistrale in Economics (cod. 8408)
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dal 14/02/2023 al 14/03/2023
Contenuti
Please find the most updated course content here.
This course provides theory and tools to use geographical data in economic research. First, it (i) presents recent economic research that utilizes this type of data and (ii) stresses how doing so allows for addressing meaningful research questions. Second, the course introduces the technicalities related to the construction and use of geographic data using R.
Testi/Bibliografia
A bibliography of the academic literature will be distributed in class. The technical references for using R to handle GIS data will comprise both the slides and codes provided by the instructor and:
- Lovelace, R., Nowosad, J. and Muenchow, J., 2019. Geocomputation with R. Chapman and Hall/CRC.
- Pebesma, E., 2018. Simple Features for R: Standardized Support for Spatial Vector Data. The R Journal 10 (1), 439-446, https://doi.org/10.32614/RJ-2018-009
- Wickham, H. and Grolemund, G., 2016. R for data science: import, tidy, transform, visualize, and model data. " O'Reilly Media, Inc.".
Metodi didattici
The teaching methods will be:
- Classes with discussions and papers and methods.
- Practice in laboratory-like sessions in class.
Note that participants are asked to have bring own laptop (or at least one every two people) to follow and replicate the work done by the instructor.
Modalità di verifica e valutazione dell'apprendimento
The assessment methods and grading will follow:
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Replication assignments.
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Final essay (empirical research project).
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Class engagement.
Strumenti a supporto della didattica
- R and RStudio for practice in class.
- Slides and notes.
Link ad altre eventuali informazioni
https://brunoconteleite.github.io/02-gis-unibo/
Orario di ricevimento
Consulta il sito web di Bruno Conte Leite