[
  {
    "title": "Causal discovery in urban data with temporal empirical dynamic modeling: The {R} package {tEDM}",
    "author": [
      {
        "given": "Wenbo",
        "family": "Lyu",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Yangyang",
        "family": "Lei",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Wen",
        "family": "Yi",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Yongze",
        "family": "Song",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Xiao",
        "family": "Li",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Shaoqing",
        "family": "Dai",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Yiming",
        "family": "Qin",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Wufan",
        "family": "Zhao",
        "role": {},
        "email": {},
        "comment": {}
      }
    ],
    "journal": "Computers, Environment and Urban Systems",
    "year": "2026",
    "volume": "127",
    "pages": "102435",
    "doi": "10.1016/j.compenvurbsys.2026.102435"
  }
]