Code for the paper "Unsupervised Representation Learning of Spatial Data via Multimodal Embedding"
Porter Jenkins, Ahmad Farag, Suhang Wang, and Zhenhui Li. 2019. Unsuper- vised Representation Learning of Spatial Data via Multimodal Embedding. In Proceedings of The 28th ACM International Conference on Information and Knowledge Management, Beijing, China, November 3–7, 2019 (CIKM ’19)
The project uses a config file (called config.json) to do basic setup (e.g., pointing to data set location). Currently, the config file must have the following parameters:
{
"city_name": "nyc",
"data_dir_main": "foo/bar/city/",
"census_income_file": "Household Income by Race and Census Tract and Community Area.xlsx",
"tract_shape_file": "Census-Tracts-2010/chicago-tract.shp",
"poi_file": "all_POIs_chicago.p",
"poi_dist_file": "POI_dist_tract.csv",
"edge_list_file": "edge_list.txt",
"deepwalk_file": "deepwalk_embedding.txt",
"embedding_file": "embedding.txt",
"nmf_file": "nmf_embedding.txt",
"autoencoder_embedding_file": "autoencoder_embedding.txt",
"raw_flow_file": "taxi-trips.csv",
"flow_mtx_file": "flow_mtx.p",
"housing_data_file": "zillow_house_price.csv",
"lon_min": "-87.6998",
"lon_max": "-87.6065",
"lat_min": "41.8542",
"lat_max": "41.9013",
"grid_size": "5",
"hidden_dim_size": "64",
"g_maps_key": "xxxxyyyxxxx",
"path_to_image_dir": "foo/bar/city/images_no_marker"
}