| add_characteristic | Add a characteristic to an existing population |
| add_char_demo | Add characteristic by matching on demographics |
| align_pums | Match the pums variables with marginal totals |
| allocate_count | Re-allocate excess counts to other locations |
| assign_place | Assign a place to a person |
| assign_place_coords | Assign a place with long/lat coords to a synthetic population |
| assign_schools | Assign schools to a synthetic population. |
| assign_schools_inner | Function which assigns schools |
| assign_weights | Assign weights for ipf-based sampling |
| assign_workplaces | Assign an ESRI workplace to synthetic population |
| assign_workplaces_inner | Function which assigns workplaces |
| base_map_theme | The base map theme for SPEW |
| calc_dists | Calculate distance b/w cont table row and pums |
| call_spew | Wrapper for reading, formatting, and writing SPEW ecosystems |
| cap_default | How to weight the capacities of of school. |
| ccount | Adjust number of households |
| checkDF | Check if df is in the right format |
| check_logfile | Check to see if a SPEW log-file is complete |
| check_path | Check the path to output to run diags |
| check_place_ids | Check the Place ID's match |
| check_pop_table | Check the pop_table has all the necessary components |
| check_puma_ids | Check the puma id's match |
| check_pums | Check that the pums has all the required components |
| check_shapefile | Check the shapefile has the necessary components |
| check_var_names | Check to see if variable names are in SPEW outputs |
| clean_names | Remove whitespace, capitals, and non ASCII |
| combine_counts | Combine two rows of a pop_table into one |
| create_column | Parse a SPEW Log-file to into an appropriate column |
| delaware | Input data for Keny County, Delaware |
| demo_sample | Sample extra characteristics from char pums and add them to... |
| euclidean_dist | Get the euclidean distance between two points (x1, y1) and... |
| extract_st_co_tr | Extract the state, county, and tract ID from a string |
| extrapolate_probs_to_pums | Take unique probabilites for table and spread them to rest of... |
| extrapolate_probs_to_pums_joint | Take unique probabilites for table and spread them to rest of... |
| fill_cont_table | Fill marginal contingency with ipf |
| fips_to_name | Translate FIPS number to place name |
| format_data | Format data before entering make |
| get_base_map | Get the base map for plotting |
| get_centers | Get the center longitude and latitude for each region |
| get_coords_scaled | Getting a plotting data frame |
| get_data_group | Extract data-group from location name |
| get_dfs | Get the dataframes from SPEW summary output |
| get_dist_mat | Get the distance matrix |
| get_dists | Get the distances between the schools and the people. |
| get_envs | Gather the unique assignments for the region |
| get_filenames | Get the filenames of the SPEW output, separated by the level |
| get_header | Extract the header from a population |
| get_level | Obtain the correct level for ipums data |
| get_pop_totals | Get the population totals from a summarized SPEW region |
| get_rows | Extract rows with a certain character |
| get_shapefile_indices | Obtain the shapefile indices corresponding to the pop table |
| get_targets | Obtain the target marginals for IPF |
| get_total_time | Extract the total run-time from a SPEW log-file |
| get_weight_dists | Weight place assignment probabilities |
| haversine | Get the haversine distance between two points (x1, y1) and... |
| haversine_dist | Get the haversine distance between two points (x1, y1) and... |
| impute_missing_vals | Impute Missing Values in a data frame |
| make_ipf_obj | Set up for creating a set of marginal information for IPF... |
| make_mm_obj | Make moment matching object |
| merge_reduce | Wrapper function for merge |
| organize_summaries | Organize the summaries into a more palatable format |
| people_to_households | Convert a population count to household count |
| plot_agents | Plot the agents of synthetic ecosystem |
| plot_bds | Plot the boundaries of the synthetic ecosystem |
| plot_characteristic_proportions | Plot characteristic summary output from... |
| plot_env | Plot the environments of the synthetic ecosystem |
| plot_interior | Plot the interior of the synthetic ecosystem |
| plot_labs | Add the labels and the theme to the plot |
| plot_pop_totals | Plot characteristic summary output from... |
| plot_region | Plot SPEW region |
| plot_roads | Plot the roads of the synthetic ecosystem |
| plot_syneco | Plot Synthetic Ecosystem |
| print_region_list | Write out information on each region |
| read_data | Read SPEW input data from files |
| read_marginals | Read in the marginals population characteristic totals |
| read_moments | Read in the R data object for moment matching |
| read_pop_table | Read in the population counts |
| read_roads | Read in road lines shapefiles |
| read_shapespatial_to_ogr | Read in shapefile using readOGR |
| remove_count | Remove a row from the pop_table |
| remove_excess | Remove comma's, accents, etc. from name |
| remove_holes | Remove holes from an object of class Polygon |
| remove_words | Remove excess words |
| replace_word | Replace an existing word |
| sample_households | Sample appropriate indices from household PUMS |
| sample_ipf | Sample households PUMS accoording to IPF |
| sample_locations | Generic sampling locations function |
| sample_locations_roads | Sample coordinates from roads |
| sample_locations_uniform | Sample from a particular polygon shapefile |
| sample_mm | Sample households PUMS according to MM |
| sample_people | Sample from the individual person PUMS data frame |
| sample_uniform | Sample households uniformly |
| sample_with_cont | Sample from pums |
| samp_roads | Sample the locations from a SpatialLines object |
| solve_mm_for_joint | Do the Moment Matching solving for joint distribution |
| solve_mm_for_var | Do the MM solving for an individual variable |
| solve_mm_weights | Weight the records of the PUMS so the averages in mm_df will... |
| spew | SPEW algorithm to generate synthetic ecosystems |
| spewlog_to_df | Convert a SPEW Logfile into a data-frame |
| spew_mc | Run SPEW in Parallel with a Multicore backend |
| spew_mpi | Run SPEW in Parallel with an MPI backend |
| spew-package | spew: an R package for generating synthetic ecosystems |
| spew_place | Generate synthetic ecosystem for single place |
| spew_seq | Run SPEW Sequentially |
| spew_sock | Run SPEW in Parallel with a SOCK backend |
| standardize_pop_table | Make sure pop_table has the appropriate columns |
| subset_pums | Align pums with marginal totals |
| subset_schools | Subset the schools to that of the county |
| subset_shapes_roads | Subset the shapefile and road lines to proper roads within... |
| summarize_environment | Return the unique environment assignments in a region |
| summarize_features | Summarize individual features of a region |
| summarize_spew | Summarize a SPEW region |
| summarize_spew_out | Summarize spew output |
| summarize_spew_region | Summarize a singular region from spew output |
| summarize_syneco | Summarize synthetic ecosystem for SPEW console output |
| summarize_top_region | Summarize the region in a more human-readable format |
| tartanville | Input data for Tartanville |
| update_freqs | Update frequencies to match # of households |
| uruguay | Input data for Uruguay |
| us | Table of US states and counties |
| us_pums_sf | An example marginal distribution table |
| verify_column | Verify the column is the correct size |
| weight_dists | Weight school assignment probabilities |
| weight_dists2 | Weight school assignment probabilities |
| weight_dists_C | Weight school assignment probabilities by capacity only |
| weight_dists_D | Weight school assignment probabilities, distance only |
| write_data | Output our final synthetic populations as csv's |
| write_pop_table | Write out the final, formatted table |
| write_schools | Write school environment |
| write_workplaces | Write workplaces environment |
