Back-end service providing rural attractivnes data and analysis tools.

Viktorie Sloupová 83d7d328a5 Změnit "data/rural_attractiveness.owl.json" 3 سال پیش
data 83d7d328a5 Změnit "data/rural_attractiveness.owl.json" 3 سال پیش
r fe777cccff Fix manipulating clustering input 4 سال پیش
static f13dd425ca Fix Flanders pilot definition 5 سال پیش
views 1c4691d5a7 Nicer Region score formatting in report 5 سال پیش
.babelrc 4c6c0a898f Add nodemon 5 سال پیش
.gitignore d8266b5199 Add CZ clusters data & API methods 4 سال پیش
README.md 2fd206b2a1 Update README 3 سال پیش
helpers.js 49779ca311 Don't consider /runR a public API 4 سال پیش
index.js c27c801fad EU: Use up-to-date datasets 3 سال پیش
nuts-data.js fe777cccff Fix manipulating clustering input 4 سال پیش
package-lock.json 7b7659e947 Upgrade package-lock to v2 3 سال پیش
package.json 721188c59f Refactor datasets/ and scores/ requests 4 سال پیش
test.html c6b02b9edd Modify /clusters service to manipulate CSV data 5 سال پیش

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