More links adjusted

docs/guide/jos.md

@@ -16,7 +16,10 @@ Data is protected (more than 15 obs. per observation unit).
 * Individual FADN data
 * Farm Structure Spatial Units (FSU) established in the VERIFY project ([link_FSU])
 * CAPDIS for information on land use and yields (Britz, W., Witzke, P.  (2014). CAPRI model documentation 2014)
-    * Information on land use in the FSU is calculated calculated through the Land Area Prediction model (LAPM), based on the methods of Lamboni et al. (2016: Lamboni, M. R. Koeble, A. Leip (2016). Multi-scale land-use disaggregation modelling: concept and application to EU countries. Environmental Modelling & Software 82, 183-217. https://doi.org/10.1016/j.envsoft.2016.04.028), and assessing its accuracy (Leip et al., 2017: Leip, A., Koeble, R., Rotllan-Puig, X., 2017. Land Area Prediction model (LAPM) Accuracy Assessment. European Commission, Ispra (VA), Italy. https://doi.org/10.2760/624482). They include available data of crop areas from the Farm Structure Survey 2010 at a 10 km x 10 km grid, developing a methodology to gap-fill missing data which was filtered out by confidentiality rules (Bujnowska et al., 2019: Bujnowska, A., Gomez-Prieto, O., Kloek, W., Koeble, R., Leip, D., Martinez-Solano, D., Ramos, H. (2019). Disseminating European data at farm level while protecting confidentiality: scientific use files and homogeneous spatial units, in: International Conference on Agricultural Statistics, New Delhi.).
+    * Information on land use in the FSU is calculated calculated through the Land Area Prediction model (LAPM), based on the methods of Lamboni et al. (2016: Lamboni, M. R. Koeble, A. Leip (2016).
+    * Multi-scale land-use disaggregation modelling: concept and application to EU countries. Environmental Modelling & Software 82, 183-217. [https://doi.org/10.1016/j.envsoft.2016.04.028]), and assessing its accuracy (Leip et al., 2017: Leip, A., Koeble, R., Rotllan-Puig, X., 2017. Land Area Prediction model (LAPM) Accuracy Assessment. European Commission, Ispra (VA), Italy. [https://doi.org/10.2760/624482]). 
+    * They include available data of crop areas from the Farm Structure Survey 2010 at a 10 km x 10 km grid, developing a methodology to gap-fill missing data which was filtered out by confidentiality rules (Bujnowska et al., 2019: Bujnowska, A., Gomez-Prieto, O., Kloek, W., Koeble, R., Leip, D., Martinez-Solano, D., Ramos, H. (2019). 
+    * Disseminating European data at farm level while protecting confidentiality: scientific use files and homogeneous spatial units, in: International Conference on Agricultural Statistics, New Delhi.).
 
 ##### Reports
 
@@ -59,4 +62,6 @@ Temporal scale: depending on progress. Actually 2001-2020 each second year.
 [FADN SPATIAL]: https://humusklimanetz-couch.thuenen.de/fadn-spatial/
 [link_FSU]: https://verify.lsce.ipsl.fr/
 [D3.1 Report on stocktake of requirements and technical specifications for the LUM policy database]: https://www.lamasus.eu/wp-content/uploads/LAMASUS_D3.1-Report-on-Stocktake-of-Requirements-and-Technical-Specifications-for-the-LUM-Policy-Database.pdf
-[LAMASUS project]: https://www.lamasus.eu/
+[LAMASUS project]: https://www.lamasus.eu/
+[https://doi.org/10.1016/j.envsoft.2016.04.028]: https://doi.org/10.1016/j.envsoft.2016.04.028
+[https://doi.org/10.2760/624482]: https://doi.org/10.2760/624482