Abstract
International and domestic tourism supports the economic growth of countries. To better understand this activity, it is crucial to analyze it from different spatial granularity levels. In this work, networks were generated from data associated with money flow among departments, provinces, and districts. Later, these networks were used to build communities, and the tourist demand was estimated using a gravitational technique. Our findings provide essential information about how domestic tourists behave.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2021 47th Latin American Computing Conference, CLEI 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781665495035 |
| DOIs | |
| State | Published - 2021 |
| Event | 47th Latin American Computing Conference, CLEI 2021 - Virtual, Cartago, Costa Rica Duration: 25 Oct 2021 → 29 Oct 2021 |
Publication series
| Name | Proceedings - 2021 47th Latin American Computing Conference, CLEI 2021 |
|---|
Conference
| Conference | 47th Latin American Computing Conference, CLEI 2021 |
|---|---|
| Country/Territory | Costa Rica |
| City | Virtual, Cartago |
| Period | 25/10/21 → 29/10/21 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
Keywords
- Bank card transactions
- Graphs
- Mobility
- tourism
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