Man pages for spatialnetworkslab/homelocator
Inferring Home Locations for Social Media Users
| arrange_double_nested | Arrange rows by variables within a double-nested dataframe |
| arrange_nested | Arrange rows by variables within a nested dataframe |
| df_neighbors | Neighbours for locations |
| enrich_timestamp | Create new variables dervied from timestamp |
| extract_location | Extract identified home locations for users |
| filter_nested | Return rows with matching condition within nested dataframe |
| filter_verbose | Return rows with matching conditions |
| identify_location | Identify home locations for users with built-in recipes |
| mutate_double_nested | Add new variable within a double-nested dataframe |
| mutate_nested | Add new variables within a nested dataframe |
| mutate_verbose | Add new variable |
| nest_nested | Nest within a nested dataframe |
| nest_verbose | Nest dataframe |
| prop_factor_nested | Calculate the proportion of categories for a variable within... |
| recipe_APDM | recipe: Anchor Point Determining Model - APDM |
| recipe_FREQ | recipe: frequency - FREQ |
| recipe_HMLC | recipe: homelocator - HMLC |
| recipe_OSNA | recipe: Online Social Networks Activity - OSNA |
| remove_top_users | Remove top N percent of active users based on the frequency... |
| score_nested | Give a weighted value for one or more variables in a nested... |
| score_summary | Summarises all scored columns and return one single summary... |
| spread_nested | Spread a key-value pair across multiple columns |
| summarise_double_nested | Aggregate multiple values to a single value in a... |
| summarise_nested | Aggregate multiple values to a single value within a nested... |
| test_sample | Tweets sent by 100 random users |
| top_n_nested | Select top n rows by certain value |
| unnest_double_nested | Unnest within a double-nested dataframe |
| unnest_nested | Unnest within a nested dataframe |
| unnest_verbose | Unnest dataframe |
| validate_dataset | Validate input dataset |
