Web app for generating tile maps from Google Earth Engine climate/terrain data. The main use is to generate Civilization maps (Civ V or VI) based on real-world locations.

This project uses Lerna to manage its packages: server, react-app, app-engine, and common.

To get started, run these commands in the top-level directory:

npm install
npm run build
npm install

To install a package in one of ours, use the add script:

lerna add @package/name -- --scope=@tile-generator/common

The command npm run reinstall-common will update the @tile-generator/common in the

To best way to remove a dependency (pending an addition to Lerna like this PR) is to remove it from the package.json, delete the package from node_modules, then run npm i at the top level.

# Compile on watch mode
cd packages/server
npm run watch

# Start the server
npm start

# Start the client
cd packages/react-app
npm start

tile-generator uses PostGIS for certain geospatial queries (version >= 2.3).

Create a .env file in the root project directory with the following:

PGHOST='localhost'
PGUSER=postgres
PGDATABASE=tilegenerator
PGPASSWORD=<password>
PGPORT=5432

Run the following scripts to setup and seed the database:

npm run db:create
npm run db:seed

Deploy to GCP App Engine using the root dockerfile:

gcloud app deploy

Download the Koppen data from https://figshare.com/articles/Present_and_future_K_ppen-Geiger_climate_classification_maps_at_1-km_resolution/6396959/2, then:

raster2pgsql -I -t 200x200 -s 4326 ~/Downloads/Beck_KG_V1/Beck_KG_V1_present_0p0083.tif  | psql -h localhost -d tilegenerator -U postgres

River centerlines, downloaded from https://www.naturalearthdata.com/downloads/10m-physical-vectors/10m-rivers-lake-centerlines/:

shp2pgsql -I -s 4326 ~/Downloads/river_centerlines/ne_10m_rivers_lake_centerlines_scale_rank.shp | psql -h localhost -d tilegenerator -U postgres

GeoJSON data:

cd ~/Downloads
ogr2ogr -f "PostgreSQL" PG:"dbname=tilegenerator user=postgres" "rivers.geojson"

• Run the script , exporting to Google Drive
• Download the image from Drive, then run the following:

raster2pgsql -I -t 200x200 -s 4326 ~/Downloads/waterMask_500.tif | psql -h localhost -d tilegenerator -U postgres

To include multiple rasters in the import, use a wild card:

raster2pgsql -I -t 200x200 -s 4326 ~/Downloads/<tablename>* <tablename> | psql -h localhost -d tilegenerator -U postgres

For development purposes, pgadmin is helpful for writing and testing queries: https://askubuntu.com/questions/831262/how-to-install-pgadmin-4-in-desktop-mode-on-ubuntu