Basic data manipulation using dplyr & Spatial data I

1. Basic data manipulation using dplyr

• 1.1 Group your data and summarize

• 1.2 Tidy your data

• 1.3 Plot your data using ggplot2

2. Spatial data I

• 2.1 Data types: shp, kml, geojson, long/lat, raster, osm

• 2.2 Where to get spatial data?

• 2.3 Coordinate Reference Systems (CRS)

Spatial data II & Digital cartography I

1. Spatial data II

• 1.1 Into R and QGIS

• 1.2 General manipulation of spatial objects

• 1.3 Add data to spatial objects

• 1.4 Conversions between different CRS

• 1.5 Access coordinates /get centroids

2. Digital cartography I

• 2.1 Color palettes

• 2.2 Dot and bubble maps

• 2.3 Choropleth maps

Geocoding engines, Map tiles & Digital cartography II

1. Geocoding engines

• 1.1 The ggmap library (GoogleMaps)

• 1.2 The tmaptool library (OpenStreetMap

2. Map tiles

3. Digital cartography II

• 3.1 Heatmaps

• 3.1.1. The outbreak of cholera in Soho 1854

• 3.1.2 Airbnb in Bangkok 2021

• 3.2 Line maps

Neighborhood Matrices, Raster data & Digital cartography III

1. Neighborhood Matrices

• 1.1 Contiguity based matrices

• 1.2 Nearest neighborhood weight matrices

• 1.3 Distance based matrices

2. Raster data

• 2.1. What it is and where to get it

• 2.2 Plot raster data

• 2.3 The rayshader library

3. Digital cartography III

• 3.1 Shaded relief maps

Web-based mapping, Animated maps & Review of the course

1. Web-based mapping

• 1.1 The Leaflet library

2. Animated maps

• 2.1 The gganimate library

3. Review of the course