Back-end service providing rural attractivnes data and analysis tools.
jmacura
63618ca80d
Rename ontology file
|
%!s(int64=3) %!d(string=hai) anos | |
|---|---|---|
| data | %!s(int64=3) %!d(string=hai) anos | |
| r | %!s(int64=4) %!d(string=hai) anos | |
| static | %!s(int64=5) %!d(string=hai) anos | |
| views | %!s(int64=5) %!d(string=hai) anos | |
| .babelrc | %!s(int64=5) %!d(string=hai) anos | |
| .gitignore | %!s(int64=4) %!d(string=hai) anos | |
| README.md | %!s(int64=3) %!d(string=hai) anos | |
| helpers.js | %!s(int64=4) %!d(string=hai) anos | |
| index.js | %!s(int64=4) %!d(string=hai) anos | |
| nuts-data.js | %!s(int64=4) %!d(string=hai) anos | |
| package-lock.json | %!s(int64=3) %!d(string=hai) anos | |
| package.json | %!s(int64=4) %!d(string=hai) anos | |
| test.html | %!s(int64=5) %!d(string=hai) anos |
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