From 55759167c9b0664b103552f32e9c4d0d37dfe1ee Mon Sep 17 00:00:00 2001 From: Matthieu Gousseff Date: Mon, 6 Nov 2023 18:10:42 +0100 Subject: [PATCH] Update paper.md: references unbracketed. --- docs/articles/joss/paper.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/articles/joss/paper.md b/docs/articles/joss/paper.md index 3b13f1e..f1b7fc9 100644 --- a/docs/articles/joss/paper.md +++ b/docs/articles/joss/paper.md @@ -90,9 +90,9 @@ for any given area. - the raster stream processes remotely sensed information, and applies machine learning algorithms trained using local experts' knowledge. In this way, the WUDAPT community [@chingWUDAPTUrbanWeather2018a] - produced thousands of city-based LCZ maps (accessible via the LCZ Generator ([@demuzereLCZGeneratorWeb2021])) - but also large-scale maps for Europe, the continental United States and the whole world ([@demuzere2019mapping], - [@demuzere2020combining], [@demuzere2022global]). + produced thousands of city-based LCZ maps, accessible via the LCZ Generator [@demuzereLCZGeneratorWeb2021], + but also large-scale maps for Europe, the continental United States and the whole world [@demuzere2019mapping], + [@demuzere2020combining], [@demuzere2022global]. - the vector stream uses Geographic Information System (GIS) layers that represent the main topographic features, defines spatial units, computes urban canopy parameters and uses them to classify spatial units into LCZ. For instance, the GeoClimate geospatial toolbox produces LCZ classifications @@ -591,4 +591,4 @@ Guidelines. The lczexplore package was developed thanks to the project PÆNDORA2 (Pour la gestion du confort estival: Donnees, Outils et Recherche-Action) (2022 -2025), funded by ADEME. -# References \ No newline at end of file +# References