Back-end service providing rural attractivnes data and analysis tools.
jmacura
2105b1abce
Add NUTS NAME to data
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3 lat temu | |
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| data | 3 lat temu | |
| r | 4 lat temu | |
| static | 5 lat temu | |
| views | 5 lat temu | |
| .babelrc | 5 lat temu | |
| .gitignore | 4 lat temu | |
| README.md | 3 lat temu | |
| helpers.js | 4 lat temu | |
| index.js | 3 lat temu | |
| nuts-data.js | 4 lat temu | |
| package-lock.json | 3 lat temu | |
| package.json | 4 lat temu | |
| test.html | 5 lat temu |
README.md
Rural Attractivness back-end service
After the update of source data, refresh the service cache
GET https://publish.lesprojekt.cz/nodejs/refresh
List of all the datasets
GET https://publish.lesprojekt.cz/nodejs/datasets
Attractivity metadata information
GET https://publish.lesprojekt.cz/nodejs/ontology
Attractivity data for the region with ID equal to the 'nuts' parameter
GET https://publish.lesprojekt.cz/nodejs/scores/{nuts}/
Attractivity data for all the regions in source CSV data
GET https://publish.lesprojekt.cz/nodejs/scores
Computes and returns attractivity data for all the NUTS regions based on the incomming datasets and factor weights
POST https://publish.lesprojekt.cz/nodejs/scores
Computes and returns clusters based on attractivity data for all the NUTS regions and based on the incoming datasets and factor weights
POST https://publish.lesprojekt.cz/nodejs/clusters
Start the system service
sudo systemctl start fz-node-rural_attractiveness
Install
Install R-project >= 3.6
(On Windows: Add R.exe, Rterm.exe and Rscript.exe to PATH)
Rterm
install.packages("needs")
install.packages("jsonlite")
install.packages("cluster")
q()
Install NodeJS + npm
npm i
npm start