Jailani, Z.

Selection of historical census data Netherlands Antilles (1930-2010)

Census data from yearbooks of Bureau of Statistics of the Netherlands Antilles. The data was manually taken over from scanned yearbooks and put into Excel for a selection of the available information:

  • Precipitation
  • Inhabitants
  • Buildings
  • Water supply
  • Import
  • Export
  • Index of cost of living

 

Date
2020
Data type
Raw data
Theme
Research and monitoring
Tags
Geographic location
Aruba
Bonaire
Curacao
Saba
St. Eustatius
St. Maarten
Author
Image

Discovering in-depth tourist behaviour and demand using social media data in Bonaire island

Tourism has not only brought an economic fortune to Bonaire island but also has a detrimental effect on its natural ecosystem. Studying tourist behaviour might be a good precaution step so that the stakeholders can manage better tourism in Bonaire island. This internship research tried to utilize machine learning on social media data to study tourist behaviour and tried to look at tourist demand in the future.

From 2003 to 2019, there are 13,706 geotagged Flickr data which was cleaned and converted into keywords in this internship research to study the tourist’s behaviour. The cleaned keywords then were weighted using TF- DF (Term Frequency-Inverse Document Frequency) and clustered based on keywords similarity with DBSCAN (Density-Based Spatial Clustering of Noise Applications). The most relevant and least relevant keywords in a cluster then determined the tourist activities/interest of that same cluster, but in respect to other keywords in all clusters. There are nine clusters which this internship research found make sense and useful for interpreting Bonaire tourist behaviour.

For tourism demand, this internship research has forecasted time-series of tourist arrival using both Flickr data and CBS (Centraal Bureau voor de Statistiek) data. Although the number was unrealistic, Flickr data could show which continent the tourist came at which seasons (Winter, Spring, Summer, Autumn) from 2015 to the end of 2021. At the same time, CBS data could not show which continent the tourist came, but could show which seasons the tourist come from 2012 until the end of 2021 with a realistic number of government official data.

The attempt that this research has done could provide an insight into the stakeholder of Bonaire island to manage tourism by studying tourist behaviour using free social media data and an automatic method of machine learning.

Date
2020
Data type
Other resources
Theme
Research and monitoring
Geographic location
Bonaire
Author
Image

Agricultural fields (Kunuku) Bonaire

Agricultural fields of Bonaire based on visual interpretation of satelite imagery of 2019 and 2003 using Google Earth. Fields have been interpreted as being 'in use' when borders could be distinguished between field and neighbouring area and that fields were barren in contrast to the borders and/or neighbouring area. Mind: This data is not (yet) validated with field observations or expert judgement.

The following classes are used:

  • [red] Fields that are in agricultural use in 2003, but no longer in 2019 (presumably abandoned, or given a new function like urbanization)
  • [yellow] Fields that are both in agricultural use in 2003 and in 2019 
  • [grey] Fields that still have recognizable borders in 2003, but don't seem to be used in 2003. Probably abandoned before 2003. This class has only been digitized for the Rincon area
Date
2020
Data type
Maps and Charts
Theme
Research and monitoring
Geographic location
Bonaire
Image