config.requests = [ # absolute value # # {'dataset':'gridcell', # 'image_type':'openev_map', # 'attribute':'urbansim.gridcell.population', # 'arguments':{ # 'legend_scheme':{'range':[0, 10, 50, 100], # 'color':['#b2b2aea3', '#ccff00ff','#ffcc00ff','#ff6500ff','#ff0000ff']} # ## 'scale':[-5000, 250000] # } # }, # # {'dataset':'gridcell', # 'image_type':'openev_map', # 'attribute':'urbansim.gridcell.number_of_jobs as employment', # 'arguments':{ # 'legend_scheme':{'range':[0, 500, 5000, 25000], # 'color':['#b2b2aea3', '#ccff00ff','#ffcc00ff','#ff6500ff','#ff0000ff']} # ## 'scale':[1000, 200000] # } # }, {'dataset':'faz', 'image_type':'map', 'attribute':'urbansim.faz.population', 'arguments':{ # 'scale':[1, 60000] } }, {'dataset':'faz', 'image_type':'map', 'attribute':'psrc.faz.population_per_acre', 'arguments':{ # 'scale':[1, 60000] } }, {'dataset':'faz', 'image_type':'map', 'attribute':'psrc.faz.number_of_jobs_without_resource_construction_sectors as employment', 'arguments':{ # 'scale':[1, 60000] } }, {'dataset':'faz', 'image_type':'map', 'attribute':'psrc.faz.number_of_jobs_per_acre', 'arguments':{ # 'scale':[1, 60000] } }, # ##change value # {'dataset':'gridcell', # 'image_type':'openev_map', # 'attribute':'population_change(DDDD-00)', # 'arguments':{ # 'operation':'change', # 'arguments':['urbansim.gridcell.population'], ## 'scale':[-5000, 250000] # } # }, # # {'dataset':'gridcell', # 'image_type':'openev_map', # 'attribute':'psrc.gridcell.absolute_number_of_jobs_change as employment_change(DDDD-00)', # 'arguments':{ # 'scale':[1000, 200000] # } # }, # # {'dataset':'gridcell', # 'image_type':'openev_map', # 'attribute':'psrc.gridcell.percent_population_change as percent_population_change(DDDD-00)', # 'arguments':{ ## 'scale':[1000, 200000] # } # }, # # {'dataset':'gridcell', # 'image_type':'openev_map', # 'attribute':'psrc.gridcell.percent_number_of_jobs_change as percent_employment_change(DDDD-00)', # 'arguments':{ ## 'scale':[-30000, 30000] # } # }, # {'dataset':'faz', 'image_type':'map', 'attribute':'population_change(DDDD-00)', 'arguments':{ 'operation':'change', 'arguments':['urbansim.faz.population'], # 'scale':[-2000, 40000] } }, {'dataset':'faz', 'image_type':'map', 'attribute':'employment_change(DDDD-00)', 'arguments':{ 'operation':'change', 'arguments':['urbansim.faz.number_of_jobs'], # 'scale':[-2000, 40000] } }, {'dataset':'faz', 'image_type':'map', 'attribute':'psrc.faz.percent_population_change as percent_population_change(DDDD-00)', 'arguments':{ # 'scale':[1000, 200000] } }, {'dataset':'faz', 'image_type':'map', 'attribute':'psrc.faz.percent_number_of_jobs_change as percent_employment_change(DDDD-00)', 'arguments':{ # 'scale':[-30000, 30000] } }, ###difference (this scenario - baseline) # {'dataset':'gridcell', # 'image_type':'openev_map', # 'attribute':'psrc.gridcell.absolute_population_difference_from_baseline as population_difference_from_baseline', # 'arguments':{ # 'scale':[-30000, 30000] # } # }, # # {'dataset':'gridcell', # 'image_type':'openev_map', # 'attribute':'psrc.gridcell.absolute_number_of_jobs_difference_from_baseline as employment_difference_from_baseline', # 'arguments':{ ## 'scale':[-30000, 30000] # } # }, # {'dataset':'gridcell', # 'image_type':'openev_map', # 'attribute':'psrc.gridcell.percent_population_difference_from_baseline as percent_population_difference_from_baseline', # 'arguments':{ # 'scale':[-30000, 30000] # } # }, # # {'dataset':'gridcell', # 'image_type':'openev_map', # 'attribute':'psrc.gridcell.percent_number_of_jobs_difference_from_baseline as percent_employment_difference_from_baseline', # 'arguments':{ ## 'scale':[-30000, 30000] # } # }, {'dataset':'faz', 'image_type':'map', 'attribute':'psrc.faz.absolute_population_difference_from_baseline', 'arguments':{ # 'scale':[-30000, 30000] } }, {'dataset':'faz', 'image_type':'map', 'attribute':'psrc.faz.percent_population_difference_from_baseline', 'arguments':{ # 'scale':[-30000, 30000] } }, {'dataset':'faz', 'image_type':'map', 'attribute':'psrc.faz.absolute_number_of_jobs_difference_from_baseline as absolute_employment_difference_from_baseline', 'arguments':{ # 'scale':[-30000, 30000] } }, {'dataset':'faz', 'image_type':'map', 'attribute':'psrc.faz.percent_number_of_jobs_difference_from_baseline as percent_employment_difference_from_baseline', 'arguments':{ # 'scale':[-30000, 30000] } }, {'dataset':'zone', 'image_type':'map', 'attribute':'psrc.zone.travel_time_hbw_am_drive_alone_to_cbd', 'arguments':{ 'scale':[-10, 110] }, 'years':[2000,2006,2011,2016,2021] }, {'dataset':'zone', 'image_type':'map', 'attribute':'psrc.zone.employment_within_20_minutes_travel_time_hbw_am_drive_alone', 'arguments':{ # 'scale':[-1000, 7000] }, 'years':[2000,2006,2011,2016,2021] }, {'dataset':'large_area', 'image_type':'table', 'attribute':'psrc.large_area.population', 'arguments':{}, 'years':[2000,2010,2020,2025] }, {'dataset':'large_area', 'image_type':'table', 'attribute':'psrc.large_area.number_of_jobs_without_resource_construction_sectors', 'arguments':{}, 'years':[2000,2010,2020,2025] }, ]
# DatasetDescription(dataset_name='gridcell', package_name='urbansim', nchunks=2), # DatasetDescription(dataset_name='household', package_name='urbansim'), # DatasetDescription(dataset_name='job', package_name='urbansim'), # DatasetDescription(dataset_name='zone', package_name='urbansim'), # DatasetDescription(dataset_name='travel_data', package_name='urbansim') # ] # single_year_requests are indicators that are computed for a particular year. # We give a list of years in single_year_years (is there a better name??) # The idea is that we'll get a map of psrc.large_area.population, for example, # for 2000 and another map for 2010. # # Note the syntax for specifying the indicators when the indicator name includes the year # (the substring DDDD will be replaced by the year) config.request_years = [2025] config.requests = [] #for m in range(10, 130, 10): # i = [{'dataset':'zone', # 'image_type':'map', # 'attribute':'LNE%sMTW = ln_bounded(psrc.zone.employment_within_%s_minutes_travel_time_hbw_am_transit_walk)' % (m, m), # 'arguments':{ # # 'scale':[-1000, 7000] # }, # 'years':[2000,2006,2011,2016,2021] # }, # {'dataset':'zone', # 'image_type':'map', # 'attribute':'LNE%sMDA = ln_bounded(psrc.zone.employment_within_%s_minutes_travel_time_hbw_am_drive_alone)' % (m, m), # 'arguments':{ # # 'scale':[-1000, 7000] # },
config.requests = [ # absolute value # # {'dataset':'gridcell', # 'image_type':'openev_map', # 'attribute':'urbansim.gridcell.population', # 'arguments':{ # 'legend_scheme':{'range':[0, 10, 50, 100], # 'color':['#b2b2aea3', '#ccff00ff','#ffcc00ff','#ff6500ff','#ff0000ff']} # ## 'scale':[-5000, 250000] # } # }, # # {'dataset':'gridcell', # 'image_type':'openev_map', # 'attribute':'urbansim.gridcell.number_of_jobs as employment', # 'arguments':{ # 'legend_scheme':{'range':[0, 500, 5000, 25000], # 'color':['#b2b2aea3', '#ccff00ff','#ffcc00ff','#ff6500ff','#ff0000ff']} # ## 'scale':[1000, 200000] # } # }, { 'dataset': 'faz', 'image_type': 'map', 'attribute': 'urbansim.faz.population', 'arguments': { # 'scale':[1, 60000] } }, { 'dataset': 'faz', 'image_type': 'map', 'attribute': 'psrc.faz.population_per_acre', 'arguments': { # 'scale':[1, 60000] } }, { 'dataset': 'faz', 'image_type': 'map', 'attribute': 'psrc.faz.number_of_jobs_without_resource_construction_sectors as employment', 'arguments': { # 'scale':[1, 60000] } }, { 'dataset': 'faz', 'image_type': 'map', 'attribute': 'psrc.faz.number_of_jobs_per_acre', 'arguments': { # 'scale':[1, 60000] } }, # ##change value # {'dataset':'gridcell', # 'image_type':'openev_map', # 'attribute':'population_change(DDDD-00)', # 'arguments':{ # 'operation':'change', # 'arguments':['urbansim.gridcell.population'], ## 'scale':[-5000, 250000] # } # }, # # {'dataset':'gridcell', # 'image_type':'openev_map', # 'attribute':'psrc.gridcell.absolute_number_of_jobs_change as employment_change(DDDD-00)', # 'arguments':{ # 'scale':[1000, 200000] # } # }, # # {'dataset':'gridcell', # 'image_type':'openev_map', # 'attribute':'psrc.gridcell.percent_population_change as percent_population_change(DDDD-00)', # 'arguments':{ ## 'scale':[1000, 200000] # } # }, # # {'dataset':'gridcell', # 'image_type':'openev_map', # 'attribute':'psrc.gridcell.percent_number_of_jobs_change as percent_employment_change(DDDD-00)', # 'arguments':{ ## 'scale':[-30000, 30000] # } # }, # { 'dataset': 'faz', 'image_type': 'map', 'attribute': 'population_change(DDDD-00)', 'arguments': { 'operation': 'change', 'arguments': ['urbansim.faz.population'], # 'scale':[-2000, 40000] } }, { 'dataset': 'faz', 'image_type': 'map', 'attribute': 'employment_change(DDDD-00)', 'arguments': { 'operation': 'change', 'arguments': ['urbansim.faz.number_of_jobs'], # 'scale':[-2000, 40000] } }, { 'dataset': 'faz', 'image_type': 'map', 'attribute': 'psrc.faz.percent_population_change as percent_population_change(DDDD-00)', 'arguments': { # 'scale':[1000, 200000] } }, { 'dataset': 'faz', 'image_type': 'map', 'attribute': 'psrc.faz.percent_number_of_jobs_change as percent_employment_change(DDDD-00)', 'arguments': { # 'scale':[-30000, 30000] } }, ###difference (this scenario - baseline) # {'dataset':'gridcell', # 'image_type':'openev_map', # 'attribute':'psrc.gridcell.absolute_population_difference_from_baseline as population_difference_from_baseline', # 'arguments':{ # 'scale':[-30000, 30000] # } # }, # # {'dataset':'gridcell', # 'image_type':'openev_map', # 'attribute':'psrc.gridcell.absolute_number_of_jobs_difference_from_baseline as employment_difference_from_baseline', # 'arguments':{ ## 'scale':[-30000, 30000] # } # }, # {'dataset':'gridcell', # 'image_type':'openev_map', # 'attribute':'psrc.gridcell.percent_population_difference_from_baseline as percent_population_difference_from_baseline', # 'arguments':{ # 'scale':[-30000, 30000] # } # }, # # {'dataset':'gridcell', # 'image_type':'openev_map', # 'attribute':'psrc.gridcell.percent_number_of_jobs_difference_from_baseline as percent_employment_difference_from_baseline', # 'arguments':{ ## 'scale':[-30000, 30000] # } # }, { 'dataset': 'faz', 'image_type': 'map', 'attribute': 'psrc.faz.absolute_population_difference_from_baseline', 'arguments': { # 'scale':[-30000, 30000] } }, { 'dataset': 'faz', 'image_type': 'map', 'attribute': 'psrc.faz.percent_population_difference_from_baseline', 'arguments': { # 'scale':[-30000, 30000] } }, { 'dataset': 'faz', 'image_type': 'map', 'attribute': 'psrc.faz.absolute_number_of_jobs_difference_from_baseline as absolute_employment_difference_from_baseline', 'arguments': { # 'scale':[-30000, 30000] } }, { 'dataset': 'faz', 'image_type': 'map', 'attribute': 'psrc.faz.percent_number_of_jobs_difference_from_baseline as percent_employment_difference_from_baseline', 'arguments': { # 'scale':[-30000, 30000] } }, { 'dataset': 'zone', 'image_type': 'map', 'attribute': 'psrc.zone.travel_time_hbw_am_drive_alone_to_cbd', 'arguments': { 'scale': [-10, 110] }, 'years': [2000, 2006, 2011, 2016, 2021] }, { 'dataset': 'zone', 'image_type': 'map', 'attribute': 'psrc.zone.employment_within_20_minutes_travel_time_hbw_am_drive_alone', 'arguments': { # 'scale':[-1000, 7000] }, 'years': [2000, 2006, 2011, 2016, 2021] }, { 'dataset': 'large_area', 'image_type': 'table', 'attribute': 'psrc.large_area.population', 'arguments': {}, 'years': [2000, 2010, 2020, 2025] }, { 'dataset': 'large_area', 'image_type': 'table', 'attribute': 'psrc.large_area.number_of_jobs_without_resource_construction_sectors', 'arguments': {}, 'years': [2000, 2010, 2020, 2025] }, ]