From 760f9b792b87ffb264c39799b11511bea868fe95 Mon Sep 17 00:00:00 2001 From: neuenfeldt Date: Fri, 15 Nov 2024 14:55:49 +0100 Subject: [PATCH] More links adjusted --- docs/guide/jos.md | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/docs/guide/jos.md b/docs/guide/jos.md index 55e67c2..e14abfc 100644 --- a/docs/guide/jos.md +++ b/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/ \ No newline at end of file +[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 \ No newline at end of file