From 05b066d58d259281d18f605218c64a87535030a3 Mon Sep 17 00:00:00 2001
From: Duchateau Fabien <fabien.duchateau@univ-lyon1.fr>
Date: Mon, 21 Sep 2020 23:43:03 +0200
Subject: [PATCH] [M] minor edits in paper (ref IRIS)

---
 paper.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/paper.md b/paper.md
index aa2e1f92..48c7857f 100644
--- a/paper.md
+++ b/paper.md
@@ -51,7 +51,7 @@ Neighbourhoods are represented as [GeoJSON objects](https://geojson.org/) and in
 
 To add new neighbourhoods, it is necessary to store them as GeoJSON and make them accessible by Predihood. Besides, some neighbourhoods have to be manually annotated (i.e., giving a value for each of the six environment variables).
 
-The current version of Predihood is bundled with data from France using the [mongiris](https://gitlab.liris.cnrs.fr/fduchate/mongiris) project (in which unit division named IRIS stand for neighbourhoods).
+The current version of Predihood is bundled with data from France using the [mongiris](https://gitlab.liris.cnrs.fr/fduchate/mongiris) project (in which unit divisions named [IRIS](https://www.insee.fr/en/metadonnees/definition/c1523/) stand for neighbourhoods).
 It includes about 50,000 neighbourhoods with 640 indicators, and 270 neighbouhoods were annotated by social science researchers (one to two hours per neighbourhood to investigate building and streets pictures, parked cars, facilities and green areas from services such as Google Street View).
 
 ## Predicting environment
-- 
GitLab