Author: Chi Zhang
Date: 2021-01-15

# Naming scheme

#### Chi Zhang

#### 2021-01-15

The naming scheme has the following pattern: `scope_geogranularity_type_border_layout_Rclass`.

#### Scope

This is what content the map data contains. Currently we focus on these 2 scopes:

- Country (Norway).
- City (Oslo).

#### Geogranularity

This is the geographic granularity, which defines the border of county, municipality and ward.

- County (fylke) is equivalent to NUTS3 (Nomenclature of Territorial Unit level 3).
- Municip (kommune) is equivalent to LAU2 (Local Administrative Unit level 2).
- Ward (bydel) is an administrative region within a large municipality.
- xxx: only used for plotting `position_title` (see example).

#### Type

The type of the data object to distinguish whether it’s a geographical map or coordinate for label positions. - Map: Map data. - Position geolabels: Geographical coordinates for the position of labels, e.g. “county03” or “Oslo”. - Position title (insert oslo): Geographical coordinate for position of title. So far it’s only for layout: `insert_oslo`. (see example)

#### Border

Due to recent redistricting, there exist multiple versions of county borders. We provide maps that match the borders in the following years:

- 2024: The current border, this map contains 15 counties.
- 2020: Border before redistricting in 2024. This map contains 11 counties.
- 2019: Border before redistricting in 2020. This map contains 18 counties.
- 2017: Border before redistricting in 2018. This map contains 19 counties.

More information on counties in Norway can be found here.

#### Layout

Map layout, see this section for examples.

#### R class

R class for the map object.

- `data.table`: applicable for maps and label/title coordinates.
- `sf`: simple feature for spatial vector data. More on sf.