Open ifarah opened 5 years ago
years=list(range(1990, 2011, 10)) years_string=list(map(str, years)) all_y=[x[2:] for x in years_string]
Matrix:
from spatial_access.p2p import TransitMatrix from spatial_access.Configs import Configs custom_config = Configs() custom_config.disable_area_threshold=True for i in all_y: w_asym_mat = TransitMatrix(network_type='walk', primary_input='ORIG/tracts_chi.csv', primary_hints={'lon': 'lon', 'lat': 'lat', 'idx': 'ID'}, secondary_hints={'lon': 'lon', 'lat': 'lat', 'idx': 'ID'}, secondary_input='DEST/nets_ws/chi_nets'+str(i)+'.csv', configs=custom_config) w_asym_mat.process() w_asym_mat.write_tmx('matrices/mat_chi'+str(i)+'.tmx')
Models:
from spatial_access.Models import * dict = { "groceries": [3,3,3,3,3,3,3,3,3,3], "restaurants": [1,1,1,1,1, 1, .75, .75, .75, .75], "shopping": [1,1,1, 1, 1,1, 1, 1, .5, .5], "coffee": [1,1,1, 1,1,1,.75,.75,.75, .75], "banks": [1,1,1,1,1,1,1,1,1,1], "park": [1,1,1,1,1,1,1,1,1,1], "school": [1,1,1,1,1,1,1,1,1,1], "books": [1,1,1,1,1,1,1,1,1,1], "entertainment": [1,1,1,1,1,1,1,1,1,1], } for i in all_y: accesst = AccessModel(network_type='walk', transit_matrix_filename='matrices/mat_chi'+str(i)+'.tmx', sources_filename='ORIG/tracts_chi.csv', source_column_names={'idx': 'ID', 'population': 'skip', 'lat': 'lat', 'lon': 'lon'}, dest_column_names={'idx': 'ID', 'category': 'cat', 'capacity': 'skip', 'lat': 'lat', 'lon': 'lon'}, destinations_filename='DEST/nets_ws/chi_nets'+str(i)+'.csv', decay_function='logit') accesst.calculate(upper_threshold=1800, category_weight_dict=dict, normalize=False) accesst.write_results('access/access_chi'+str(i)+'.csv')
Automated case
Matrix:
Models: