Data for "Rapid seaward expansion of seaport footprints worldwide"

[updated July 2023]

This dataset comprises data and code used in "Rapid seaward expansion of seaport footprints worldwide" (Sengupta & Lazarus, 2023; preprint: https://doi.org/10.31223/X5SD3T).

The data include four csv files:

'Sengupta_Lazarus_REC_1990_2020_v02.csv' – annual time series of seaward expansion (km^2) between 1990–2020 through coastal reclamation for 66 of the world's top 100 container seaports in 2020, as ranked by reported container throughput (Lloyd's List, 2021). Dataset includes Year, Seaport, Country, Region, Reclaimed area (km^2) [raw measurement], and Reclaimed area (km^2) [smoothed]. To produce the smoothed data, the raw data are passed through a Savitzky–Golay filter. 

'Sengupta_Lazarus_REC_TEU_2011_2020_v02.csv' – annual time series of seaward expansion (km^2) and reported container throughput (millions TEU) between 2011–2020 for 43 of the world's top 100 container seaports in 2020, as ranked by reported container throughput (Lloyd's List, 2021). Dataset includes Year, Seaport, Country, Region, Reclaimed area (km^2) [raw measurement], and Reclaimed area (km^2) [smoothed with a Savitzky–Golay filter], and TEU (millions), collated from archived Lloyd's List reports. 

'Sengupta_Lazarus_REC_TEU_totals_v02.csv' – Simplified dataset listing total seaward expansion (km^2) and container throughput in 2020 for 66 of the world's top 100 container seaports in 2020, as ranked by reported container throughput (Lloyd's List, 2021). Dataset includes Seaport, Country, Region, Reclaimed area (km^2) [smoothed with a Savitzky–Golay filter], ranked list of seaports by expansion extent, and TEU (millions) handled in 2020, and Lloyd's List rank in 2020 (Lloyd's List, 2021).

'Sengupta_Lazarus_2023_ports_excluded.csv' – contains list of 34 ports excluded from thus analysis because they are either not on an open coastline (e.g. estuarine, riverine) or expanded less than 1 km^2 seaward between 1990–2020.

'RECLAIM_port_trajectories_v7.ipynb' – Jupyter notebook for data wrangling and plotting figures presented in Sengupta & Lazarus (2023). (Note that this notebook does not produce the map-based figures presented in that work.)

The method for calculating reclaimed area over time in Google Earth Engine (GEE) is described in Sengupta et al. (2023), and the GEE code is available here: https://github.com/dhritirajsen/Mapping_Coastal_land_reclamation

These data and code are also available here: https://github.com/edlazarus/Seaports