# Landmass samples for blog article

2 sample files have been generated for the blog article

- ```landmass_sample_top100_simplified_polygons.geojson``` containing simplified polygons of landmasses
- ```landmass_sample_top100_towns.geojson``` containing towns and few attributes, including their landmass_id

## Simplified polygons

This sample contains simplified versions of the 100 bigest landmasses polygons.
The dataset has the following attributes:
- id: landmass numeric identifier, this column can be directly linked to the landmass_id assigned to towns
- name_en: name of the landmass, available for the 25 biggest landmasses
- area: area of the landmasses (computed on the non simplified geometries)

## Towns

This sample contains 1 town for each country concerned by the 100 biggest landmasses.
This towns are big towns but not necessarily the capital of the country.
The dataset has the following attributes:
- iso: country iso code (2 digits)
- town_name: name of the town in it's main language
- main_landmass_id: id of the main landmass assigned to this town
- main_landmass_name: name of the main landmass assigned to this town