Distance to the nearest land/coastline (including small subantarctic islands) for the five-minute average cruise track of the Antarctic Circumnavigation Expedition (ACE) during the austral summer of 2016/2017.
收藏NIAID Data Ecosystem2026-03-13 收录
下载链接:
https://zenodo.org/record/3832044
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资源简介:
Dataset abstract
This dataset is derived from:
- The GPS track of the R/V-Akademik Tryoshnikov (10.5281/zenodo.3772377)
- The shapefiles of the continents from NaturalEarth physical (@50m), version 4.1.0,
downloadable at [https://www.naturalearthdata.com/http//www.naturalearthdata.com/download/50m/physical/ne_50m_land.zip](https://www.naturalearthdata.com/http//www.naturalearthdata.com/download/50m/physical/ne_50m_land.zip)
- A manual entry of the smaller islands which may not be mapped on the NaturalEarth resource, namely:
- "Peter I": [-68.8282, -90.6157]
- "Scott": [-67.3783, -179.9117]
- "Young": [-66.2833, 162.4167]
- "Buckle": [-66.65, 163.05]
- "Sturge": [-67.416667, 164.733333]
- "Siple": [-73.65, -125]
- "Bouvetoya": [-54.4208, 3.3464]
The calculation of the actual distance to land has been done in qGIS 3.2.3-Bonn https://qgis.org/downloads/, using the NNJoin plugin version 3.1.2 https://plugins.qgis.org/plugins/NNJoin/. After the point-to-closest polygon distance calculation, the python script in src/add_distance_to_small_islands.py replaces the distance calculation to the centerpoint of the islands (as reported above) if the boat is closer to the island centerpoint than any other coast.
Data file: dist_to_land_incl_small_islands.csv
The data repository can be checked out at: https://renkulab.io/gitlab/ACE-ASAID/cruise-track-distance-to-land
Dataset contents
- dist_to_land_incl_small_islands.csv, data file, comma-separated values
- data_file_header, metadata, text format
- README.txt, metadata, text format
- add_distance_to_small_islands.py, python script, text format
Dataset license
This output to the five-minute averaged distance to land is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/
创建时间:
2021-12-23



