1. Data Types
1.1. Vector
1.1.1. common formats
1.1.1.1. geopackage
1.1.1.2. geojson/topojson
1.1.1.3. shapefile
1.1.2. Spatial representation
1.1.2.1. Polygon
1.1.2.2. Line
1.1.2.3. Point
1.2. Raster
1.2.1. Spatial representation
1.2.1.1. Pixel
2. Main difference with DataFrame
2.1. CRS
2.1.1. Projection
2.1.1.1. **Projected**
2.1.1.1.1. **type**
2.1.1.1.2. **purpose**
2.1.1.2. **Non Projected** (geographic)
2.1.1.2.1. Long
2.1.1.2.2. Lat
2.1.2. Setting projection
2.1.3. Resetting projection
2.2. Geometrical information
2.2.1. Polygon
2.2.1.1. Multi Polygon
2.2.2. Line
2.2.2.1. Poly Line
2.2.3. Point
3. Choropleths
3.1. variable nature
3.1.1. extensive
3.1.1.1. raw data
3.1.2. intensive
3.1.2.1. normalized raw data
3.2. preprocessing
3.2.1. same value distribution
3.2.1.1. outliers
3.2.1.1.1. robust strategies
3.2.1.2. no outliers
3.2.1.2.1. rescaling
3.2.1.2.2. z scores
3.3. normalization
3.3.1. density
3.3.1.1. non-normalized
3.3.1.1.1. count
3.3.1.2. normalized
3.3.1.2.1. density
3.3.2. proportion
3.3.2.1. non-normalized
3.3.2.1.1. count
3.3.2.2. normalized
3.3.2.2.1. proportion
3.3.3. average
3.3.3.1. non-normalized
3.3.3.1.1. sum
3.3.3.2. normalized
3.3.3.2.1. mean
3.3.4. change
3.3.4.1. non-normalized
3.3.4.1.1. difference
3.3.4.2. normalized
3.3.4.2.1. division
3.4. discretization
3.4.1. cut the variable
3.4.1.1. show intervals
3.4.1.2. show levels