Arguments: combined_factor_table_path F:/WWF/ROOT/composite_factor_table.csv do_optimization False do_preprocessing True frontier_type n_dim_frontier marginal_raster_table_path F:/WWF/ROOT/impact_potential_raster_table.csv number_of_frontier_points 15.0 objectives_table_path F:/WWF/ROOT/objective_table.csv optimization_container False potential_conversion_mask_uri F:/WWF/ROOT/Raster/AOI_copyraster3.tif preprocessing_container False results_suffix root_results serviceshed_shapefiles_table F:/WWF/ROOT/spatial_weighting_maps_table.csv spatial_decision_unit_area 15.0 spatial_decision_unit_shape F:\WWF\ROOT\Vektor\AOI_hexagon_500m.shp targets_table_uri F:/WWF/ROOT/target_table.csv workspace_dir F:\WWF\ROOT\Results 11/22/2019 17:10:34 root INFO Logging will be saved to root-log-2019-11-22--17_10_34.txt 11/22/2019 17:10:34 root DEBUG Loaded the model from root 11/22/2019 17:10:34 root INFO Executing the loaded model 11/22/2019 17:10:34 root INFO Running InVEST version "3.3.3" 11/22/2019 17:10:34 root INFO Python architecture: ('64bit', 'WindowsPE') 11/22/2019 17:10:34 root INFO Disk space remaining for workspace: 127.36 GB 11/22/2019 17:10:34 root INFO Pointing temporary directory at the workspace at F:\WWF\ROOT\Results 11/22/2019 17:10:34 root INFO Starting root 11/22/2019 17:10:34 root INFO Setting tempfile.tempdir to F:\WWF\ROOT\Results\tmp doing pre-processing BEGINNING PREPROCESSING CHECK: Ensuring inputs in same projection and same size. STEP: Constructing output paths STEP: Removing polygons that only cover nodata 11/22/2019 17:11:11 natcap.invest.iui._log_model WARNING an exception encountered when logging cannot connect to ('model_logging_server.naturalcapitalproject.org', 54321): [Errno 10061] No connection could be made because the target machine actively refused it INFO: Packing Target SDU Grid INTERMEDIATE: cleaning marginal value rasters with large and corrupt negative nodata Base raster doesn't have a large nodata value; it's likely not one of the corrupt float32.min rasters we were dealing with. Copying F:\WWF\ROOT\Raster\Vmarginal for Impact Potential Map\selisih_USLE_2017_2030_2.tif to F:\WWF\ROOT\Results\selisih_USLE_2017_2030_2.tif without modification. Base raster doesn't have a large nodata value; it's likely not one of the corrupt float32.min rasters we were dealing with. Copying F:\WWF\ROOT\Raster\Vmarginal for Impact Potential Map\selisih_Sediment_2017_2030_2.tif to F:\WWF\ROOT\Results\selisih_Sediment_2017_2030_2.tif without modification. STEP: Aggregate Value Rasters to SDU STEP: Calculate SDU serviceshed coverage serviceshed_id: vwyield serviceshed_values[serviceshed_id]: ['Class_5'] serviceshed_id: searise serviceshed_values[serviceshed_id]: ['gridcode']