Single-Cell-Protein

Source Code and Data Set for 'SPATIAL ANALYSES AND VISUALISATION FOR NEW PROTEIN SOURCES' /* what every files for*/

1. Code File (run in jupyter notebook) 1.1. spatial_analysis_Maize.ipynb: data pre-processing, spatial analysis, model-building, future projection for maize residue, protein projection 1.2. spatial_analysis_rice.ipynb: data pre-processing, spatial analysis, model-building, future projection for rice residue, protein projection 1.3. spatial_analysis_sorghum.ipynb: data pre-processing, spatial analysis, model-building, future projection for sorghum residue, protein projection 1.4. spatial_analysis_wheat.ipynb: data pre-processing, spatial analysis, model-building, future projection for wheat residue, protein projection 1.5. spatial_analysis barley.ipynb: data pre-processing, spatial analysis, model-building, future projection for barley residue, protein projection 1.6. temperature_data_process.ipynb: temperature data aggregation 1.7. rainfall_data_process.ipynb: rainfall data aggregation 1.8. temperature_projection.ipynb: prediction of temperature change data 1.9. Lignocellulose_Projection.ipynb: map visualization for lignocellulose value for crop residues and SCP in 2030 and 2040

2. Data Set (/dataset) 2.1. /climate: aggerageted temperature and rainfall data in country level 2.2. /cropland: original collected cropland data and country area data (*with missing values) 2.3. /fertilizer: original collected fertilizer data (*with missing values) 2.4. /WB_countries_Admin0_10m/WB_countries_Admin0_10m.shp: worldwide shapefile data 2.5. /temperature_change: temperature change data (1960 to 2020) 2.6. /production: crop production and residue quantity in 2018 2.7. /protein: Lignocellulose and SCP projection from residue projection 2.8. /crop_residue_and _indicators: pre-processed and linked data (including residue and independent variables) for each kind of crop 2.9. /data_for_diff_visualize/diff-2040.xls: data for histogram visualizations in Tableau 2.10. /temp_point_18.csv , rainfall_point_18.csv : temperature and rainfall value of geometry points worldwide (2018) 2.11 /country_data.csv : country code data